Overview

Dataset statistics

Number of variables29
Number of observations50
Missing cells66
Missing cells (%)4.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.5 KiB
Average record size in memory234.6 B

Variable types

Numeric9
Categorical20

Alerts

airdate has constant value "2020-12-20" Constant
runtime is highly correlated with _embedded_show_runtime and 1 other fieldsHigh correlation
_embedded_show_runtime is highly correlated with runtime and 1 other fieldsHigh correlation
_embedded_show_averageRuntime is highly correlated with runtime and 1 other fieldsHigh correlation
season is highly correlated with runtime and 2 other fieldsHigh correlation
runtime is highly correlated with season and 2 other fieldsHigh correlation
_embedded_show_runtime is highly correlated with season and 2 other fieldsHigh correlation
_embedded_show_averageRuntime is highly correlated with season and 2 other fieldsHigh correlation
runtime is highly correlated with _embedded_show_runtime and 1 other fieldsHigh correlation
_embedded_show_runtime is highly correlated with runtime and 1 other fieldsHigh correlation
_embedded_show_averageRuntime is highly correlated with runtime and 1 other fieldsHigh correlation
_embedded_show_officialSite is highly correlated with _embedded_show_summary and 10 other fieldsHigh correlation
summary is highly correlated with url and 5 other fieldsHigh correlation
_embedded_show_summary is highly correlated with _embedded_show_officialSite and 9 other fieldsHigh correlation
_embedded_show_type is highly correlated with url and 5 other fieldsHigh correlation
_embedded_show_status is highly correlated with url and 5 other fieldsHigh correlation
url is highly correlated with _embedded_show_officialSite and 18 other fieldsHigh correlation
image is highly correlated with _embedded_show_officialSite and 18 other fieldsHigh correlation
_embedded_show_ended is highly correlated with _embedded_show_status and 6 other fieldsHigh correlation
_embedded_show_name is highly correlated with _embedded_show_officialSite and 10 other fieldsHigh correlation
_embedded_show_premiered is highly correlated with _embedded_show_officialSite and 10 other fieldsHigh correlation
name is highly correlated with _embedded_show_officialSite and 18 other fieldsHigh correlation
airdate is highly correlated with _embedded_show_officialSite and 18 other fieldsHigh correlation
airtime is highly correlated with url and 7 other fieldsHigh correlation
_links_self_href is highly correlated with _embedded_show_officialSite and 18 other fieldsHigh correlation
_embedded_show_genres is highly correlated with _embedded_show_officialSite and 9 other fieldsHigh correlation
type is highly correlated with summary and 6 other fieldsHigh correlation
_embedded_show_url is highly correlated with _embedded_show_officialSite and 10 other fieldsHigh correlation
_embedded_show_language is highly correlated with _embedded_show_officialSite and 8 other fieldsHigh correlation
_embedded_show_dvdCountry is highly correlated with _embedded_show_type and 9 other fieldsHigh correlation
airstamp is highly correlated with url and 5 other fieldsHigh correlation
id is highly correlated with url and 14 other fieldsHigh correlation
url is highly correlated with id and 26 other fieldsHigh correlation
name is highly correlated with id and 26 other fieldsHigh correlation
season is highly correlated with url and 13 other fieldsHigh correlation
number is highly correlated with url and 9 other fieldsHigh correlation
type is highly correlated with url and 9 other fieldsHigh correlation
airtime is highly correlated with url and 10 other fieldsHigh correlation
airstamp is highly correlated with url and 9 other fieldsHigh correlation
runtime is highly correlated with id and 17 other fieldsHigh correlation
image is highly correlated with id and 24 other fieldsHigh correlation
summary is highly correlated with id and 14 other fieldsHigh correlation
_embedded_show_id is highly correlated with id and 17 other fieldsHigh correlation
_embedded_show_url is highly correlated with id and 24 other fieldsHigh correlation
_embedded_show_name is highly correlated with id and 24 other fieldsHigh correlation
_embedded_show_type is highly correlated with url and 20 other fieldsHigh correlation
_embedded_show_language is highly correlated with url and 16 other fieldsHigh correlation
_embedded_show_genres is highly correlated with url and 16 other fieldsHigh correlation
_embedded_show_status is highly correlated with url and 13 other fieldsHigh correlation
_embedded_show_runtime is highly correlated with id and 16 other fieldsHigh correlation
_embedded_show_averageRuntime is highly correlated with url and 16 other fieldsHigh correlation
_embedded_show_premiered is highly correlated with id and 24 other fieldsHigh correlation
_embedded_show_ended is highly correlated with url and 14 other fieldsHigh correlation
_embedded_show_officialSite is highly correlated with id and 24 other fieldsHigh correlation
_embedded_show_weight is highly correlated with id and 11 other fieldsHigh correlation
_embedded_show_dvdCountry is highly correlated with url and 12 other fieldsHigh correlation
_embedded_show_summary is highly correlated with id and 24 other fieldsHigh correlation
_embedded_show_updated is highly correlated with id and 16 other fieldsHigh correlation
_links_self_href is highly correlated with id and 26 other fieldsHigh correlation
number has 2 (4.0%) missing values Missing
runtime has 5 (10.0%) missing values Missing
image has 38 (76.0%) missing values Missing
_embedded_show_runtime has 17 (34.0%) missing values Missing
_embedded_show_averageRuntime has 4 (8.0%) missing values Missing
url is uniformly distributed Uniform
name is uniformly distributed Uniform
image is uniformly distributed Uniform
_links_self_href is uniformly distributed Uniform
id has unique values Unique
url has unique values Unique
name has unique values Unique
_links_self_href has unique values Unique

Reproduction

Analysis started2022-05-10 02:17:28.763708
Analysis finished2022-05-10 02:17:51.589047
Duration22.83 seconds
Software versionpandas-profiling v3.2.0
Download configurationconfig.json

Variables

id
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2055511.86
Minimum1956340
Maximum2318108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2022-05-09T21:17:51.664153image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1956340
5-th percentile1968010.2
Q11985041.5
median2001931.5
Q32122467
95-th percentile2217100.4
Maximum2318108
Range361768
Interquartile range (IQR)137425.5

Descriptive statistics

Standard deviation91176.56859
Coefficient of variation (CV)0.04435711142
Kurtosis0.05174516633
Mean2055511.86
Median Absolute Deviation (MAD)34802
Skewness0.9769682786
Sum102775593
Variance8313166660
MonotonicityNot monotonic
2022-05-09T21:17:51.769720image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20533501
 
2.0%
21102471
 
2.0%
19886231
 
2.0%
19670131
 
2.0%
19850261
 
2.0%
19968171
 
2.0%
19974261
 
2.0%
19975221
 
2.0%
19975231
 
2.0%
19985401
 
2.0%
Other values (40)40
80.0%
ValueCountFrequency (%)
19563401
2.0%
19565181
2.0%
19670131
2.0%
19692291
2.0%
19740531
2.0%
19740961
2.0%
19757461
2.0%
19773281
2.0%
19780131
2.0%
19816011
2.0%
ValueCountFrequency (%)
23181081
2.0%
22559851
2.0%
22346901
2.0%
21956021
2.0%
21785631
2.0%
21761371
2.0%
21659311
2.0%
21538721
2.0%
21538711
2.0%
21538701
2.0%

url
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size528.0 B
https://www.tvmaze.com/episodes/2053350/ispoved-1x08-gnojnyj
 
1
https://www.tvmaze.com/episodes/2110247/paranormal-nightmare-5x07-the-curse
 
1
https://www.tvmaze.com/episodes/1988623/redakcia-s03-special-redakcia-news-putin-i-otravlenie-kleveta-v-internete-raznotyk
 
1
https://www.tvmaze.com/episodes/1967013/bani-negri-pentru-zile-albe-1x05-barza
 
1
https://www.tvmaze.com/episodes/1985026/ultra-galaxy-fight-the-absolute-conspiracy-1x05-part-5
 
1
Other values (45)
45 

Length

Max length146
Median length96
Mean length84.16
Min length59

Characters and Unicode

Total characters4208
Distinct characters39
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)100.0%

Sample

1st rowhttps://www.tvmaze.com/episodes/2053350/ispoved-1x08-gnojnyj
2nd rowhttps://www.tvmaze.com/episodes/1956340/hero-return-1x11-episode-11
3rd rowhttps://www.tvmaze.com/episodes/1988863/swallowed-star-1x05-episode-5
4th rowhttps://www.tvmaze.com/episodes/2052510/wu-shen-zhu-zai-1x85-episode-85
5th rowhttps://www.tvmaze.com/episodes/2012322/mans-diary-2x07-episode-7

Common Values

ValueCountFrequency (%)
https://www.tvmaze.com/episodes/2053350/ispoved-1x08-gnojnyj1
 
2.0%
https://www.tvmaze.com/episodes/2110247/paranormal-nightmare-5x07-the-curse1
 
2.0%
https://www.tvmaze.com/episodes/1988623/redakcia-s03-special-redakcia-news-putin-i-otravlenie-kleveta-v-internete-raznotyk1
 
2.0%
https://www.tvmaze.com/episodes/1967013/bani-negri-pentru-zile-albe-1x05-barza1
 
2.0%
https://www.tvmaze.com/episodes/1985026/ultra-galaxy-fight-the-absolute-conspiracy-1x05-part-51
 
2.0%
https://www.tvmaze.com/episodes/1996817/pappas-pojkar-1x05-leo-blir-svartsjuk-pa-plugghastar1
 
2.0%
https://www.tvmaze.com/episodes/1997426/the-george-lucas-talk-show-s01-special-holiday-special1
 
2.0%
https://www.tvmaze.com/episodes/1997522/the-penalty-zone-1x15-episode-151
 
2.0%
https://www.tvmaze.com/episodes/1997523/the-penalty-zone-1x16-episode-161
 
2.0%
https://www.tvmaze.com/episodes/1998540/love-script-1x01-episode-11
 
2.0%
Other values (40)40
80.0%

Length

2022-05-09T21:17:51.920470image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://www.tvmaze.com/episodes/2053350/ispoved-1x08-gnojnyj1
 
2.0%
https://www.tvmaze.com/episodes/2153869/der-ingen-skulle-tru-at-nokon-kunne-bu-19x03-presteroi1
 
2.0%
https://www.tvmaze.com/episodes/2126036/kuntergrau-3x06-episode-61
 
2.0%
https://www.tvmaze.com/episodes/1988863/swallowed-star-1x05-episode-51
 
2.0%
https://www.tvmaze.com/episodes/2052510/wu-shen-zhu-zai-1x85-episode-851
 
2.0%
https://www.tvmaze.com/episodes/2012322/mans-diary-2x07-episode-71
 
2.0%
https://www.tvmaze.com/episodes/2071489/youths-in-the-breeze-1x19-full-time-sworn-enemy-031
 
2.0%
https://www.tvmaze.com/episodes/2071490/youths-in-the-breeze-1x20-full-time-sworn-enemy-041
 
2.0%
https://www.tvmaze.com/episodes/1956518/113-2x10-episode-101
 
2.0%
https://www.tvmaze.com/episodes/1977328/stjernestov-1x20-episode-201
 
2.0%
Other values (40)40
80.0%

Most occurring characters

ValueCountFrequency (%)
e360
 
8.6%
-338
 
8.0%
s263
 
6.2%
t252
 
6.0%
/250
 
5.9%
o212
 
5.0%
w171
 
4.1%
i166
 
3.9%
a158
 
3.8%
p154
 
3.7%
Other values (29)1884
44.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2877
68.4%
Decimal Number593
 
14.1%
Other Punctuation400
 
9.5%
Dash Punctuation338
 
8.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e360
12.5%
s263
 
9.1%
t252
 
8.8%
o212
 
7.4%
w171
 
5.9%
i166
 
5.8%
a158
 
5.5%
p154
 
5.4%
m133
 
4.6%
n129
 
4.5%
Other values (15)879
30.6%
Decimal Number
ValueCountFrequency (%)
1126
21.2%
297
16.4%
094
15.9%
954
9.1%
548
 
8.1%
840
 
6.7%
639
 
6.6%
336
 
6.1%
733
 
5.6%
426
 
4.4%
Other Punctuation
ValueCountFrequency (%)
/250
62.5%
.100
 
25.0%
:50
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
-338
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2877
68.4%
Common1331
31.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e360
12.5%
s263
 
9.1%
t252
 
8.8%
o212
 
7.4%
w171
 
5.9%
i166
 
5.8%
a158
 
5.5%
p154
 
5.4%
m133
 
4.6%
n129
 
4.5%
Other values (15)879
30.6%
Common
ValueCountFrequency (%)
-338
25.4%
/250
18.8%
1126
 
9.5%
.100
 
7.5%
297
 
7.3%
094
 
7.1%
954
 
4.1%
:50
 
3.8%
548
 
3.6%
840
 
3.0%
Other values (4)134
 
10.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII4208
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e360
 
8.6%
-338
 
8.0%
s263
 
6.2%
t252
 
6.0%
/250
 
5.9%
o212
 
5.0%
w171
 
4.1%
i166
 
3.9%
a158
 
3.8%
p154
 
3.7%
Other values (29)1884
44.8%

name
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size528.0 B
Гнойный
 
1
The Curse
 
1
Редакция. News: Путин и отравление, клевета в интернете, «разнотык»
 
1
Barza
 
1
Part 5
 
1
Other values (45)
45 

Length

Max length99
Median length54.5
Mean length20.16
Min length4

Characters and Unicode

Total characters1008
Distinct characters115
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)100.0%

Sample

1st rowГнойный
2nd rowEpisode 11
3rd rowEpisode 5
4th rowEpisode 85
5th rowEpisode 7

Common Values

ValueCountFrequency (%)
Гнойный1
 
2.0%
The Curse1
 
2.0%
Редакция. News: Путин и отравление, клевета в интернете, «разнотык»1
 
2.0%
Barza1
 
2.0%
Part 51
 
2.0%
Leo blir svartsjuk på plugghästar1
 
2.0%
Holiday Special1
 
2.0%
Episode 151
 
2.0%
Episode 161
 
2.0%
Episode 11
 
2.0%
Other values (40)40
80.0%

Length

2022-05-09T21:17:52.061241image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
episode14
 
8.4%
4
 
2.4%
the4
 
2.4%
york2
 
1.2%
enemy2
 
1.2%
22
 
1.2%
162
 
1.2%
42
 
1.2%
52
 
1.2%
part2
 
1.2%
Other values (126)131
78.4%

Most occurring characters

ValueCountFrequency (%)
118
 
11.7%
e71
 
7.0%
i55
 
5.5%
s48
 
4.8%
o45
 
4.5%
r40
 
4.0%
a39
 
3.9%
n34
 
3.4%
d32
 
3.2%
E25
 
2.5%
Other values (105)501
49.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter642
63.7%
Uppercase Letter150
 
14.9%
Space Separator118
 
11.7%
Decimal Number56
 
5.6%
Other Punctuation32
 
3.2%
Dash Punctuation5
 
0.5%
Currency Symbol2
 
0.2%
Close Punctuation1
 
0.1%
Initial Punctuation1
 
0.1%
Final Punctuation1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e71
 
11.1%
i55
 
8.6%
s48
 
7.5%
o45
 
7.0%
r40
 
6.2%
a39
 
6.1%
n34
 
5.3%
d32
 
5.0%
p24
 
3.7%
t23
 
3.6%
Other values (45)231
36.0%
Uppercase Letter
ValueCountFrequency (%)
E25
16.7%
T15
 
10.0%
S11
 
7.3%
L10
 
6.7%
C8
 
5.3%
P7
 
4.7%
M7
 
4.7%
N7
 
4.7%
R6
 
4.0%
F5
 
3.3%
Other values (23)49
32.7%
Decimal Number
ValueCountFrequency (%)
215
26.8%
012
21.4%
19
16.1%
56
 
10.7%
65
 
8.9%
73
 
5.4%
43
 
5.4%
91
 
1.8%
81
 
1.8%
31
 
1.8%
Other Punctuation
ValueCountFrequency (%)
,9
28.1%
#5
15.6%
/5
15.6%
:5
15.6%
.2
 
6.2%
"2
 
6.2%
!1
 
3.1%
?1
 
3.1%
@1
 
3.1%
&1
 
3.1%
Currency Symbol
ValueCountFrequency (%)
$1
50.0%
1
50.0%
Space Separator
ValueCountFrequency (%)
118
100.0%
Dash Punctuation
ValueCountFrequency (%)
-5
100.0%
Close Punctuation
ValueCountFrequency (%)
)1
100.0%
Initial Punctuation
ValueCountFrequency (%)
«1
100.0%
Final Punctuation
ValueCountFrequency (%)
»1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin677
67.2%
Common216
 
21.4%
Cyrillic115
 
11.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e71
 
10.5%
i55
 
8.1%
s48
 
7.1%
o45
 
6.6%
r40
 
5.9%
a39
 
5.8%
n34
 
5.0%
d32
 
4.7%
E25
 
3.7%
p24
 
3.5%
Other values (45)264
39.0%
Cyrillic
ValueCountFrequency (%)
е13
 
11.3%
н9
 
7.8%
к9
 
7.8%
а8
 
7.0%
и7
 
6.1%
т7
 
6.1%
р6
 
5.2%
о6
 
5.2%
л5
 
4.3%
й4
 
3.5%
Other values (23)41
35.7%
Common
ValueCountFrequency (%)
118
54.6%
215
 
6.9%
012
 
5.6%
19
 
4.2%
,9
 
4.2%
56
 
2.8%
-5
 
2.3%
#5
 
2.3%
65
 
2.3%
/5
 
2.3%
Other values (17)27
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII882
87.5%
Cyrillic115
 
11.4%
None10
 
1.0%
Currency Symbols1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
118
 
13.4%
e71
 
8.0%
i55
 
6.2%
s48
 
5.4%
o45
 
5.1%
r40
 
4.5%
a39
 
4.4%
n34
 
3.9%
d32
 
3.6%
E25
 
2.8%
Other values (62)375
42.5%
Cyrillic
ValueCountFrequency (%)
е13
 
11.3%
н9
 
7.8%
к9
 
7.8%
а8
 
7.0%
и7
 
6.1%
т7
 
6.1%
р6
 
5.2%
о6
 
5.2%
л5
 
4.3%
й4
 
3.5%
Other values (23)41
35.7%
None
ValueCountFrequency (%)
ø2
20.0%
é1
10.0%
«1
10.0%
»1
10.0%
å1
10.0%
ä1
10.0%
š1
10.0%
æ1
10.0%
Ø1
10.0%
Currency Symbols
ValueCountFrequency (%)
1
100.0%

season
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct8
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean206.6
Minimum1
Maximum2020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2022-05-09T21:17:52.166316image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q35.75
95-th percentile2020
Maximum2020
Range2019
Interquartile range (IQR)4.75

Descriptive statistics

Standard deviation610.6617688
Coefficient of variation (CV)2.955768484
Kurtosis5.788664775
Mean206.6
Median Absolute Deviation (MAD)1
Skewness2.748885235
Sum10330
Variance372907.7959
MonotonicityNot monotonic
2022-05-09T21:17:52.245561image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
124
48.0%
27
 
14.0%
196
 
12.0%
20205
 
10.0%
33
 
6.0%
53
 
6.0%
61
 
2.0%
481
 
2.0%
ValueCountFrequency (%)
124
48.0%
27
 
14.0%
33
 
6.0%
53
 
6.0%
61
 
2.0%
196
 
12.0%
481
 
2.0%
20205
 
10.0%
ValueCountFrequency (%)
20205
 
10.0%
481
 
2.0%
196
 
12.0%
61
 
2.0%
53
 
6.0%
33
 
6.0%
27
 
14.0%
124
48.0%

number
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct25
Distinct (%)52.1%
Missing2
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean22.125
Minimum1
Maximum347
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2022-05-09T21:17:52.334949image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median8.5
Q316
95-th percentile59.85
Maximum347
Range346
Interquartile range (IQR)11

Descriptive statistics

Standard deviation51.20946763
Coefficient of variation (CV)2.314552209
Kurtosis36.04173941
Mean22.125
Median Absolute Deviation (MAD)4.5
Skewness5.713778513
Sum1062
Variance2622.409574
MonotonicityNot monotonic
2022-05-09T21:17:52.441154image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
56
 
12.0%
45
 
10.0%
104
 
8.0%
73
 
6.0%
63
 
6.0%
82
 
4.0%
152
 
4.0%
162
 
4.0%
22
 
4.0%
12
 
4.0%
Other values (15)17
34.0%
ValueCountFrequency (%)
12
 
4.0%
22
 
4.0%
31
 
2.0%
45
10.0%
56
12.0%
63
6.0%
73
6.0%
82
 
4.0%
91
 
2.0%
104
8.0%
ValueCountFrequency (%)
3471
2.0%
851
2.0%
631
2.0%
541
2.0%
521
2.0%
511
2.0%
481
2.0%
271
2.0%
202
4.0%
191
2.0%

type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct3
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size528.0 B
regular
48 
insignificant_special
 
1
significant_special
 
1

Length

Max length21
Median length7
Mean length7.52
Min length7

Characters and Unicode

Total characters376
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)4.0%

Sample

1st rowregular
2nd rowregular
3rd rowregular
4th rowregular
5th rowregular

Common Values

ValueCountFrequency (%)
regular48
96.0%
insignificant_special1
 
2.0%
significant_special1
 
2.0%

Length

2022-05-09T21:17:52.535232image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-09T21:17:52.629805image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
regular48
96.0%
insignificant_special1
 
2.0%
significant_special1
 
2.0%

Most occurring characters

ValueCountFrequency (%)
r96
25.5%
a52
13.8%
e50
13.3%
g50
13.3%
l50
13.3%
u48
12.8%
i9
 
2.4%
n5
 
1.3%
s4
 
1.1%
c4
 
1.1%
Other values (4)8
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter374
99.5%
Connector Punctuation2
 
0.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r96
25.7%
a52
13.9%
e50
13.4%
g50
13.4%
l50
13.4%
u48
12.8%
i9
 
2.4%
n5
 
1.3%
s4
 
1.1%
c4
 
1.1%
Other values (3)6
 
1.6%
Connector Punctuation
ValueCountFrequency (%)
_2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin374
99.5%
Common2
 
0.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
r96
25.7%
a52
13.9%
e50
13.4%
g50
13.4%
l50
13.4%
u48
12.8%
i9
 
2.4%
n5
 
1.3%
s4
 
1.1%
c4
 
1.1%
Other values (3)6
 
1.6%
Common
ValueCountFrequency (%)
_2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII376
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
r96
25.5%
a52
13.8%
e50
13.3%
g50
13.3%
l50
13.3%
u48
12.8%
i9
 
2.4%
n5
 
1.3%
s4
 
1.1%
c4
 
1.1%
Other values (4)8
 
2.1%

airdate
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size528.0 B
2020-12-20
50 

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters500
Distinct characters4
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-12-20
2nd row2020-12-20
3rd row2020-12-20
4th row2020-12-20
5th row2020-12-20

Common Values

ValueCountFrequency (%)
2020-12-2050
100.0%

Length

2022-05-09T21:17:52.805302image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-09T21:17:52.891941image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-12-2050
100.0%

Most occurring characters

ValueCountFrequency (%)
2200
40.0%
0150
30.0%
-100
20.0%
150
 
10.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number400
80.0%
Dash Punctuation100
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2200
50.0%
0150
37.5%
150
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
-100
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common500
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2200
40.0%
0150
30.0%
-100
20.0%
150
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII500
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2200
40.0%
0150
30.0%
-100
20.0%
150
 
10.0%

airtime
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct15
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Memory size528.0 B
nan
29 
10:00
20:00
06:00
 
2
12:00
 
1
Other values (10)
10 

Length

Max length5
Median length3
Mean length3.84
Min length3

Characters and Unicode

Total characters192
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)22.0%

Sample

1st row12:00
2nd row10:00
3rd row10:00
4th row10:00
5th rownan

Common Values

ValueCountFrequency (%)
nan29
58.0%
10:004
 
8.0%
20:004
 
8.0%
06:002
 
4.0%
12:001
 
2.0%
06:011
 
2.0%
06:021
 
2.0%
06:031
 
2.0%
06:041
 
2.0%
06:051
 
2.0%
Other values (5)5
 
10.0%

Length

2022-05-09T21:17:52.970383image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
nan29
58.0%
10:004
 
8.0%
20:004
 
8.0%
06:002
 
4.0%
12:001
 
2.0%
06:011
 
2.0%
06:021
 
2.0%
06:031
 
2.0%
06:041
 
2.0%
06:051
 
2.0%
Other values (5)5
 
10.0%

Most occurring characters

ValueCountFrequency (%)
n58
30.2%
050
26.0%
a29
15.1%
:21
 
10.9%
19
 
4.7%
69
 
4.7%
28
 
4.2%
32
 
1.0%
42
 
1.0%
52
 
1.0%
Other values (2)2
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter87
45.3%
Decimal Number84
43.8%
Other Punctuation21
 
10.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
050
59.5%
19
 
10.7%
69
 
10.7%
28
 
9.5%
32
 
2.4%
42
 
2.4%
52
 
2.4%
71
 
1.2%
91
 
1.2%
Lowercase Letter
ValueCountFrequency (%)
n58
66.7%
a29
33.3%
Other Punctuation
ValueCountFrequency (%)
:21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common105
54.7%
Latin87
45.3%

Most frequent character per script

Common
ValueCountFrequency (%)
050
47.6%
:21
20.0%
19
 
8.6%
69
 
8.6%
28
 
7.6%
32
 
1.9%
42
 
1.9%
52
 
1.9%
71
 
1.0%
91
 
1.0%
Latin
ValueCountFrequency (%)
n58
66.7%
a29
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII192
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n58
30.2%
050
26.0%
a29
15.1%
:21
 
10.9%
19
 
4.7%
69
 
4.7%
28
 
4.2%
32
 
1.0%
42
 
1.0%
52
 
1.0%
Other values (2)2
 
1.0%

airstamp
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct19
Distinct (%)38.0%
Missing0
Missing (%)0.0%
Memory size528.0 B
2020-12-20T12:00:00+00:00
20 
2020-12-20T11:00:00+00:00
2020-12-20T04:00:00+00:00
2020-12-20T17:00:00+00:00
2020-12-20T02:00:00+00:00
Other values (14)
16 

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters1250
Distinct characters13
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)24.0%

Sample

1st row2020-12-20T00:00:00+00:00
2nd row2020-12-20T02:00:00+00:00
3rd row2020-12-20T02:00:00+00:00
4th row2020-12-20T02:00:00+00:00
5th row2020-12-20T04:00:00+00:00

Common Values

ValueCountFrequency (%)
2020-12-20T12:00:00+00:0020
40.0%
2020-12-20T11:00:00+00:005
 
10.0%
2020-12-20T04:00:00+00:003
 
6.0%
2020-12-20T17:00:00+00:003
 
6.0%
2020-12-20T02:00:00+00:003
 
6.0%
2020-12-21T01:00:00+00:002
 
4.0%
2020-12-20T05:00:00+00:002
 
4.0%
2020-12-21T00:00:00+00:001
 
2.0%
2020-12-20T21:35:00+00:001
 
2.0%
2020-12-20T15:00:00+00:001
 
2.0%
Other values (9)9
18.0%

Length

2022-05-09T21:17:53.065109image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2020-12-20t12:00:00+00:0020
40.0%
2020-12-20t11:00:00+00:005
 
10.0%
2020-12-20t04:00:00+00:003
 
6.0%
2020-12-20t17:00:00+00:003
 
6.0%
2020-12-20t02:00:00+00:003
 
6.0%
2020-12-21t01:00:00+00:002
 
4.0%
2020-12-20t05:00:00+00:002
 
4.0%
2020-12-20t05:05:00+00:001
 
2.0%
2020-12-20t05:01:00+00:001
 
2.0%
2020-12-20t05:02:00+00:001
 
2.0%
Other values (9)9
18.0%

Most occurring characters

ValueCountFrequency (%)
0560
44.8%
2225
18.0%
:150
 
12.0%
-100
 
8.0%
192
 
7.4%
T50
 
4.0%
+50
 
4.0%
511
 
0.9%
45
 
0.4%
73
 
0.2%
Other values (3)4
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number900
72.0%
Other Punctuation150
 
12.0%
Dash Punctuation100
 
8.0%
Uppercase Letter50
 
4.0%
Math Symbol50
 
4.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0560
62.2%
2225
25.0%
192
 
10.2%
511
 
1.2%
45
 
0.6%
73
 
0.3%
32
 
0.2%
81
 
0.1%
61
 
0.1%
Other Punctuation
ValueCountFrequency (%)
:150
100.0%
Dash Punctuation
ValueCountFrequency (%)
-100
100.0%
Uppercase Letter
ValueCountFrequency (%)
T50
100.0%
Math Symbol
ValueCountFrequency (%)
+50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common1200
96.0%
Latin50
 
4.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0560
46.7%
2225
18.8%
:150
 
12.5%
-100
 
8.3%
192
 
7.7%
+50
 
4.2%
511
 
0.9%
45
 
0.4%
73
 
0.2%
32
 
0.2%
Other values (2)2
 
0.2%
Latin
ValueCountFrequency (%)
T50
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1250
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0560
44.8%
2225
18.0%
:150
 
12.0%
-100
 
8.0%
192
 
7.4%
T50
 
4.0%
+50
 
4.0%
511
 
0.9%
45
 
0.4%
73
 
0.2%
Other values (3)4
 
0.3%

runtime
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct23
Distinct (%)51.1%
Missing5
Missing (%)10.0%
Infinite0
Infinite (%)0.0%
Mean44.31111111
Minimum4
Maximum196
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2022-05-09T21:17:53.161946image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile7.2
Q121
median39
Q345
95-th percentile120
Maximum196
Range192
Interquartile range (IQR)24

Descriptive statistics

Standard deviation41.09236947
Coefficient of variation (CV)0.9273603942
Kurtosis5.755611356
Mean44.31111111
Median Absolute Deviation (MAD)14
Skewness2.343094573
Sum1994
Variance1688.582828
MonotonicityNot monotonic
2022-05-09T21:17:53.274472image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
457
14.0%
394
 
8.0%
1203
 
6.0%
123
 
6.0%
402
 
4.0%
222
 
4.0%
72
 
4.0%
432
 
4.0%
202
 
4.0%
302
 
4.0%
Other values (13)16
32.0%
(Missing)5
 
10.0%
ValueCountFrequency (%)
41
 
2.0%
72
4.0%
81
 
2.0%
123
6.0%
152
4.0%
202
4.0%
211
 
2.0%
222
4.0%
231
 
2.0%
251
 
2.0%
ValueCountFrequency (%)
1961
 
2.0%
1801
 
2.0%
1203
6.0%
602
 
4.0%
511
 
2.0%
481
 
2.0%
457
14.0%
432
 
4.0%
402
 
4.0%
394
8.0%

image
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct12
Distinct (%)100.0%
Missing38
Missing (%)76.0%
Memory size528.0 B
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/289/724756.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/289/724756.jpg'}
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/290/726354.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/290/726354.jpg'}
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/291/729727.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/291/729727.jpg'}
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/721859.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/721859.jpg'}
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/401/1003923.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/401/1003923.jpg'}
Other values (7)

Length

Max length178
Median length176
Mean length176.3333333
Min length176

Characters and Unicode

Total characters2116
Distinct characters38
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)100.0%

Sample

1st row{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/289/724756.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/289/724756.jpg'}
2nd row{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/290/726354.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/290/726354.jpg'}
3rd row{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/291/729727.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/291/729727.jpg'}
4th row{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/721859.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/721859.jpg'}
5th row{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/401/1003923.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/401/1003923.jpg'}

Common Values

ValueCountFrequency (%)
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/289/724756.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/289/724756.jpg'}1
 
2.0%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/290/726354.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/290/726354.jpg'}1
 
2.0%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/291/729727.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/291/729727.jpg'}1
 
2.0%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/721859.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/721859.jpg'}1
 
2.0%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/401/1003923.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/401/1003923.jpg'}1
 
2.0%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/289/724940.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/289/724940.jpg'}1
 
2.0%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/310/776221.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/310/776221.jpg'}1
 
2.0%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/291/729936.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/291/729936.jpg'}1
 
2.0%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/389/973510.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/389/973510.jpg'}1
 
2.0%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/285/714233.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/285/714233.jpg'}1
 
2.0%
Other values (2)2
 
4.0%
(Missing)38
76.0%

Length

2022-05-09T21:17:53.391593image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
medium12
25.0%
original12
25.0%
https://static.tvmaze.com/uploads/images/medium_landscape/310/776221.jpg1
 
2.1%
https://static.tvmaze.com/uploads/images/medium_landscape/382/955841.jpg1
 
2.1%
https://static.tvmaze.com/uploads/images/original_untouched/401/1003458.jpg1
 
2.1%
https://static.tvmaze.com/uploads/images/medium_landscape/401/1003458.jpg1
 
2.1%
https://static.tvmaze.com/uploads/images/original_untouched/285/714233.jpg1
 
2.1%
https://static.tvmaze.com/uploads/images/medium_landscape/285/714233.jpg1
 
2.1%
https://static.tvmaze.com/uploads/images/original_untouched/389/973510.jpg1
 
2.1%
https://static.tvmaze.com/uploads/images/medium_landscape/389/973510.jpg1
 
2.1%
Other values (16)16
33.3%

Most occurring characters

ValueCountFrequency (%)
/168
 
7.9%
a144
 
6.8%
t132
 
6.2%
m120
 
5.7%
i120
 
5.7%
s108
 
5.1%
e96
 
4.5%
'96
 
4.5%
p84
 
4.0%
o84
 
4.0%
Other values (28)964
45.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1416
66.9%
Other Punctuation396
 
18.7%
Decimal Number220
 
10.4%
Space Separator36
 
1.7%
Connector Punctuation24
 
1.1%
Close Punctuation12
 
0.6%
Open Punctuation12
 
0.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a144
 
10.2%
t132
 
9.3%
m120
 
8.5%
i120
 
8.5%
s108
 
7.6%
e96
 
6.8%
p84
 
5.9%
o84
 
5.9%
u72
 
5.1%
c72
 
5.1%
Other values (9)384
27.1%
Decimal Number
ValueCountFrequency (%)
238
17.3%
928
12.7%
726
11.8%
124
10.9%
322
10.0%
820
9.1%
020
9.1%
418
8.2%
516
7.3%
68
 
3.6%
Other Punctuation
ValueCountFrequency (%)
/168
42.4%
'96
24.2%
.72
18.2%
:48
 
12.1%
,12
 
3.0%
Space Separator
ValueCountFrequency (%)
36
100.0%
Connector Punctuation
ValueCountFrequency (%)
_24
100.0%
Close Punctuation
ValueCountFrequency (%)
}12
100.0%
Open Punctuation
ValueCountFrequency (%)
{12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1416
66.9%
Common700
33.1%

Most frequent character per script

Common
ValueCountFrequency (%)
/168
24.0%
'96
13.7%
.72
10.3%
:48
 
6.9%
238
 
5.4%
36
 
5.1%
928
 
4.0%
726
 
3.7%
124
 
3.4%
_24
 
3.4%
Other values (9)140
20.0%
Latin
ValueCountFrequency (%)
a144
 
10.2%
t132
 
9.3%
m120
 
8.5%
i120
 
8.5%
s108
 
7.6%
e96
 
6.8%
p84
 
5.9%
o84
 
5.9%
u72
 
5.1%
c72
 
5.1%
Other values (9)384
27.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII2116
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/168
 
7.9%
a144
 
6.8%
t132
 
6.2%
m120
 
5.7%
i120
 
5.7%
s108
 
5.1%
e96
 
4.5%
'96
 
4.5%
p84
 
4.0%
o84
 
4.0%
Other values (28)964
45.6%

summary
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct7
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Memory size528.0 B
nan
44 
<p>Father Vergara leaves for Rome to face his painful past. He requests a meeting with the Pope, but he discovers that Santoro is waiting for him too. Meanwhile in Pedraza, someone is about to return from the dead.</p>
 
1
<p>THE GEORGE LUCAS TALK SHOW HOLIDAY SPECIAL This holiday is yours, but we all share with you the hope that this day brings us closer to freedom, and to harmony, and to peace. No matter how different we appear, we're all the same in our struggle against the powers of evil and darkness. I hope that this day will always be a day of joy in which we can reconfirm our dedication and our courage. And more than anything else, our love for one another. This is the promise of the Tree of Life. Today, retired filmmaker GEORGE LUCAS (dead-eyed character actor CONNOR RATLIFF) and his talk show sidekick, WATTO (GRIFFIN NEWMAN, co-lead on AMAZON'S THE TICK) are raising money for FEEDING AMERICA. If you know anyone who might want to donate even as little as one dollar, please steer them towards this fundraiser today. They are joined, as always, by their snack-napping, nap-snacking producer PATRICK COTNOIR (aka PITY PAT aka THE GRIM SLEEPER aka STEAMBOOT LICKEY) whose druthers include you following him on twitter right now please: @patrickcotnoir Yippeeeee!. HAPPY LIFE DAY..</p>
 
1
<p>The Wistful Wish's journey comes to a close, but not before one last bit of terror from the deep.</p>
 
1
<p>There are few rules in the TikTok creator mansion other than cheaters get caught and canceled; lies and shady behavior are exposed when some of the members in the house discover a secret group chat.</p>
 
1
Other values (2)
 
2

Length

Max length1080
Median length3
Mean length47.3
Min length3

Characters and Unicode

Total characters2365
Distinct characters68
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)12.0%

Sample

1st rownan
2nd rownan
3rd rownan
4th rownan
5th rownan

Common Values

ValueCountFrequency (%)
nan44
88.0%
<p>Father Vergara leaves for Rome to face his painful past. He requests a meeting with the Pope, but he discovers that Santoro is waiting for him too. Meanwhile in Pedraza, someone is about to return from the dead.</p>1
 
2.0%
<p>THE GEORGE LUCAS TALK SHOW HOLIDAY SPECIAL This holiday is yours, but we all share with you the hope that this day brings us closer to freedom, and to harmony, and to peace. No matter how different we appear, we're all the same in our struggle against the powers of evil and darkness. I hope that this day will always be a day of joy in which we can reconfirm our dedication and our courage. And more than anything else, our love for one another. This is the promise of the Tree of Life. Today, retired filmmaker GEORGE LUCAS (dead-eyed character actor CONNOR RATLIFF) and his talk show sidekick, WATTO (GRIFFIN NEWMAN, co-lead on AMAZON'S THE TICK) are raising money for FEEDING AMERICA. If you know anyone who might want to donate even as little as one dollar, please steer them towards this fundraiser today. They are joined, as always, by their snack-napping, nap-snacking producer PATRICK COTNOIR (aka PITY PAT aka THE GRIM SLEEPER aka STEAMBOOT LICKEY) whose druthers include you following him on twitter right now please: @patrickcotnoir Yippeeeee!. HAPPY LIFE DAY..</p>1
 
2.0%
<p>The Wistful Wish's journey comes to a close, but not before one last bit of terror from the deep.</p>1
 
2.0%
<p>There are few rules in the TikTok creator mansion other than cheaters get caught and canceled; lies and shady behavior are exposed when some of the members in the house discover a secret group chat.</p>1
 
2.0%
<p>Tamaki and Aya are finally reunited. Tamaki wants the two of them to live together, but Aya informs him that she wants to remain with her new father who has been taking care of her. A surprising figure appears before the dumbfounded group. When they learn of his ambition, IDOLiSH7's feelings are united--</p>1
 
2.0%
<p>On a journey to find love, Chance invites 15 beautiful "ladies" into his home. Each week he will put the hopefuls through various challenges to test their compatibility among other things. However, with constant infighting between the contestants, will Chance be able to finally find his happily ever after?</p>1
 
2.0%

Length

2022-05-09T21:17:53.482735image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-09T21:17:53.623722image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
nan44
 
10.5%
the17
 
4.0%
to12
 
2.9%
and9
 
2.1%
of9
 
2.1%
are6
 
1.4%
a6
 
1.4%
in5
 
1.2%
this5
 
1.2%
his5
 
1.2%
Other values (235)303
72.0%

Most occurring characters

ValueCountFrequency (%)
371
15.7%
e202
 
8.5%
n188
 
7.9%
a182
 
7.7%
t130
 
5.5%
o124
 
5.2%
i109
 
4.6%
r105
 
4.4%
h96
 
4.1%
s88
 
3.7%
Other values (58)770
32.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1688
71.4%
Space Separator371
 
15.7%
Uppercase Letter210
 
8.9%
Other Punctuation57
 
2.4%
Math Symbol24
 
1.0%
Dash Punctuation6
 
0.3%
Open Punctuation3
 
0.1%
Close Punctuation3
 
0.1%
Decimal Number3
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e202
12.0%
n188
11.1%
a182
10.8%
t130
 
7.7%
o124
 
7.3%
i109
 
6.5%
r105
 
6.2%
h96
 
5.7%
s88
 
5.2%
l55
 
3.3%
Other values (16)409
24.2%
Uppercase Letter
ValueCountFrequency (%)
T25
 
11.9%
A21
 
10.0%
E19
 
9.0%
I17
 
8.1%
O14
 
6.7%
R11
 
5.2%
L11
 
5.2%
C11
 
5.2%
P9
 
4.3%
H9
 
4.3%
Other values (13)63
30.0%
Other Punctuation
ValueCountFrequency (%)
,20
35.1%
.20
35.1%
/6
 
10.5%
'4
 
7.0%
"2
 
3.5%
!1
 
1.8%
;1
 
1.8%
@1
 
1.8%
:1
 
1.8%
?1
 
1.8%
Decimal Number
ValueCountFrequency (%)
51
33.3%
11
33.3%
71
33.3%
Math Symbol
ValueCountFrequency (%)
>12
50.0%
<12
50.0%
Space Separator
ValueCountFrequency (%)
371
100.0%
Dash Punctuation
ValueCountFrequency (%)
-6
100.0%
Open Punctuation
ValueCountFrequency (%)
(3
100.0%
Close Punctuation
ValueCountFrequency (%)
)3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1898
80.3%
Common467
 
19.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e202
 
10.6%
n188
 
9.9%
a182
 
9.6%
t130
 
6.8%
o124
 
6.5%
i109
 
5.7%
r105
 
5.5%
h96
 
5.1%
s88
 
4.6%
l55
 
2.9%
Other values (39)619
32.6%
Common
ValueCountFrequency (%)
371
79.4%
,20
 
4.3%
.20
 
4.3%
>12
 
2.6%
<12
 
2.6%
-6
 
1.3%
/6
 
1.3%
'4
 
0.9%
(3
 
0.6%
)3
 
0.6%
Other values (9)10
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII2365
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
371
15.7%
e202
 
8.5%
n188
 
7.9%
a182
 
7.7%
t130
 
5.5%
o124
 
5.2%
i109
 
4.6%
r105
 
4.4%
h96
 
4.1%
s88
 
3.7%
Other values (58)770
32.6%

_embedded_show_id
Real number (ℝ≥0)

HIGH CORRELATION

Distinct42
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44268.94
Minimum2855
Maximum61755
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2022-05-09T21:17:53.902735image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum2855
5-th percentile20615.45
Q134324
median49736
Q352743
95-th percentile58929.1
Maximum61755
Range58900
Interquartile range (IQR)18419

Descriptive statistics

Standard deviation12558.97524
Coefficient of variation (CV)0.2836972206
Kurtosis1.534415695
Mean44268.94
Median Absolute Deviation (MAD)6562
Skewness-1.206036229
Sum2213447
Variance157727859
MonotonicityNot monotonic
2022-05-09T21:17:54.004343image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
331726
 
12.0%
527432
 
4.0%
547622
 
4.0%
527812
 
4.0%
486831
 
2.0%
617551
 
2.0%
523031
 
2.0%
527371
 
2.0%
528581
 
2.0%
558421
 
2.0%
Other values (32)32
64.0%
ValueCountFrequency (%)
28551
 
2.0%
129061
 
2.0%
187521
 
2.0%
228931
 
2.0%
306061
 
2.0%
322141
 
2.0%
331726
12.0%
334631
 
2.0%
369071
 
2.0%
389251
 
2.0%
ValueCountFrequency (%)
617551
2.0%
599511
2.0%
593981
2.0%
583561
2.0%
578741
2.0%
558421
2.0%
547622
4.0%
540331
2.0%
528581
2.0%
527812
4.0%

_embedded_show_url
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct42
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Memory size528.0 B
https://www.tvmaze.com/shows/33172/der-ingen-skulle-tru-at-nokon-kunne-bu
https://www.tvmaze.com/shows/52743/the-penalty-zone
 
2
https://www.tvmaze.com/shows/54762/youths-in-the-breeze
 
2
https://www.tvmaze.com/shows/52781/love-script
 
2
https://www.tvmaze.com/shows/48683/ispoved
 
1
Other values (37)
37 

Length

Max length77
Median length61
Mean length52.84
Min length38

Characters and Unicode

Total characters2642
Distinct characters39
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)76.0%

Sample

1st rowhttps://www.tvmaze.com/shows/48683/ispoved
2nd rowhttps://www.tvmaze.com/shows/51471/hero-return
3rd rowhttps://www.tvmaze.com/shows/52178/swallowed-star
4th rowhttps://www.tvmaze.com/shows/54033/wu-shen-zhu-zai
5th rowhttps://www.tvmaze.com/shows/50398/mans-diary

Common Values

ValueCountFrequency (%)
https://www.tvmaze.com/shows/33172/der-ingen-skulle-tru-at-nokon-kunne-bu6
 
12.0%
https://www.tvmaze.com/shows/52743/the-penalty-zone2
 
4.0%
https://www.tvmaze.com/shows/54762/youths-in-the-breeze2
 
4.0%
https://www.tvmaze.com/shows/52781/love-script2
 
4.0%
https://www.tvmaze.com/shows/48683/ispoved1
 
2.0%
https://www.tvmaze.com/shows/61755/bride-of-beirut1
 
2.0%
https://www.tvmaze.com/shows/52303/pappas-pojkar1
 
2.0%
https://www.tvmaze.com/shows/52737/the-george-lucas-talk-show1
 
2.0%
https://www.tvmaze.com/shows/52858/laikykites-ten1
 
2.0%
https://www.tvmaze.com/shows/55842/paranormal-nightmare1
 
2.0%
Other values (32)32
64.0%

Length

2022-05-09T21:17:54.114541image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://www.tvmaze.com/shows/33172/der-ingen-skulle-tru-at-nokon-kunne-bu6
 
12.0%
https://www.tvmaze.com/shows/52781/love-script2
 
4.0%
https://www.tvmaze.com/shows/52743/the-penalty-zone2
 
4.0%
https://www.tvmaze.com/shows/54762/youths-in-the-breeze2
 
4.0%
https://www.tvmaze.com/shows/12906/huskestue1
 
2.0%
https://www.tvmaze.com/shows/44057/hjerteslag1
 
2.0%
https://www.tvmaze.com/shows/52178/swallowed-star1
 
2.0%
https://www.tvmaze.com/shows/54033/wu-shen-zhu-zai1
 
2.0%
https://www.tvmaze.com/shows/50398/mans-diary1
 
2.0%
https://www.tvmaze.com/shows/40240/1131
 
2.0%
Other values (32)32
64.0%

Most occurring characters

ValueCountFrequency (%)
/250
 
9.5%
w213
 
8.1%
t207
 
7.8%
s196
 
7.4%
o154
 
5.8%
e147
 
5.6%
h124
 
4.7%
m115
 
4.4%
-110
 
4.2%
.100
 
3.8%
Other values (29)1026
38.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1876
71.0%
Other Punctuation400
 
15.1%
Decimal Number256
 
9.7%
Dash Punctuation110
 
4.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w213
11.4%
t207
11.0%
s196
10.4%
o154
 
8.2%
e147
 
7.8%
h124
 
6.6%
m115
 
6.1%
a99
 
5.3%
n78
 
4.2%
p68
 
3.6%
Other values (15)475
25.3%
Decimal Number
ValueCountFrequency (%)
339
15.2%
537
14.5%
234
13.3%
429
11.3%
125
9.8%
725
9.8%
821
8.2%
016
6.2%
916
6.2%
614
 
5.5%
Other Punctuation
ValueCountFrequency (%)
/250
62.5%
.100
 
25.0%
:50
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
-110
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1876
71.0%
Common766
29.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
w213
11.4%
t207
11.0%
s196
10.4%
o154
 
8.2%
e147
 
7.8%
h124
 
6.6%
m115
 
6.1%
a99
 
5.3%
n78
 
4.2%
p68
 
3.6%
Other values (15)475
25.3%
Common
ValueCountFrequency (%)
/250
32.6%
-110
14.4%
.100
 
13.1%
:50
 
6.5%
339
 
5.1%
537
 
4.8%
234
 
4.4%
429
 
3.8%
125
 
3.3%
725
 
3.3%
Other values (4)67
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII2642
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/250
 
9.5%
w213
 
8.1%
t207
 
7.8%
s196
 
7.4%
o154
 
5.8%
e147
 
5.6%
h124
 
4.7%
m115
 
4.4%
-110
 
4.2%
.100
 
3.8%
Other values (29)1026
38.8%

_embedded_show_name
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct42
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Memory size528.0 B
Der ingen skulle tru at nokon kunne bu
The Penalty Zone
 
2
Youths in the Breeze
 
2
Love Script
 
2
Исповедь
 
1
Other values (37)
37 

Length

Max length43
Median length27
Mean length18.16
Min length3

Characters and Unicode

Total characters908
Distinct characters87
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)76.0%

Sample

1st rowИсповедь
2nd rowHero Return
3rd rowSwallowed Star
4th rowWu Shen Zhu Zai
5th rowMan's Diary

Common Values

ValueCountFrequency (%)
Der ingen skulle tru at nokon kunne bu6
 
12.0%
The Penalty Zone2
 
4.0%
Youths in the Breeze2
 
4.0%
Love Script2
 
4.0%
Исповедь1
 
2.0%
Bride of Beirut1
 
2.0%
Pappas pojkar1
 
2.0%
The George Lucas Talk Show1
 
2.0%
Laikykitės Ten1
 
2.0%
Paranormal Nightmare1
 
2.0%
Other values (32)32
64.0%

Length

2022-05-09T21:17:54.224475image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
the8
 
5.0%
der6
 
3.8%
skulle6
 
3.8%
tru6
 
3.8%
at6
 
3.8%
nokon6
 
3.8%
kunne6
 
3.8%
bu6
 
3.8%
ingen6
 
3.8%
love3
 
1.9%
Other values (94)101
63.1%

Most occurring characters

ValueCountFrequency (%)
110
 
12.1%
e92
 
10.1%
n75
 
8.3%
r47
 
5.2%
t46
 
5.1%
o45
 
5.0%
u43
 
4.7%
i40
 
4.4%
a40
 
4.4%
s32
 
3.5%
Other values (77)338
37.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter661
72.8%
Uppercase Letter116
 
12.8%
Space Separator110
 
12.1%
Other Punctuation9
 
1.0%
Decimal Number7
 
0.8%
Close Punctuation2
 
0.2%
Currency Symbol2
 
0.2%
Open Punctuation1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e92
13.9%
n75
11.3%
r47
 
7.1%
t46
 
7.0%
o45
 
6.8%
u43
 
6.5%
i40
 
6.1%
a40
 
6.1%
s32
 
4.8%
l31
 
4.7%
Other values (36)170
25.7%
Uppercase Letter
ValueCountFrequency (%)
S12
 
10.3%
T11
 
9.5%
D9
 
7.8%
P8
 
6.9%
B7
 
6.0%
W7
 
6.0%
L7
 
6.0%
M6
 
5.2%
O5
 
4.3%
H4
 
3.4%
Other values (17)40
34.5%
Other Punctuation
ValueCountFrequency (%)
'5
55.6%
@1
 
11.1%
?1
 
11.1%
#1
 
11.1%
:1
 
11.1%
Decimal Number
ValueCountFrequency (%)
02
28.6%
12
28.6%
32
28.6%
71
14.3%
Currency Symbol
ValueCountFrequency (%)
1
50.0%
$1
50.0%
Space Separator
ValueCountFrequency (%)
110
100.0%
Close Punctuation
ValueCountFrequency (%)
)2
100.0%
Open Punctuation
ValueCountFrequency (%)
(1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin748
82.4%
Common131
 
14.4%
Cyrillic29
 
3.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
e92
 
12.3%
n75
 
10.0%
r47
 
6.3%
t46
 
6.1%
o45
 
6.0%
u43
 
5.7%
i40
 
5.3%
a40
 
5.3%
s32
 
4.3%
l31
 
4.1%
Other values (41)257
34.4%
Cyrillic
ValueCountFrequency (%)
о3
 
10.3%
а2
 
6.9%
к2
 
6.9%
е2
 
6.9%
д2
 
6.9%
м2
 
6.9%
М1
 
3.4%
з1
 
3.4%
й1
 
3.4%
л1
 
3.4%
Other values (12)12
41.4%
Common
ValueCountFrequency (%)
110
84.0%
'5
 
3.8%
02
 
1.5%
)2
 
1.5%
12
 
1.5%
32
 
1.5%
@1
 
0.8%
1
 
0.8%
?1
 
0.8%
$1
 
0.8%
Other values (4)4
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII874
96.3%
Cyrillic29
 
3.2%
None4
 
0.4%
Currency Symbols1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
110
 
12.6%
e92
 
10.5%
n75
 
8.6%
r47
 
5.4%
t46
 
5.3%
o45
 
5.1%
u43
 
4.9%
i40
 
4.6%
a40
 
4.6%
s32
 
3.7%
Other values (51)304
34.8%
Cyrillic
ValueCountFrequency (%)
о3
 
10.3%
а2
 
6.9%
к2
 
6.9%
е2
 
6.9%
д2
 
6.9%
м2
 
6.9%
М1
 
3.4%
з1
 
3.4%
й1
 
3.4%
л1
 
3.4%
Other values (12)12
41.4%
None
ValueCountFrequency (%)
á2
50.0%
ė1
25.0%
ø1
25.0%
Currency Symbols
ValueCountFrequency (%)
1
100.0%

_embedded_show_type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct8
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Memory size528.0 B
Scripted
19 
Documentary
10 
Animation
Talk Show
Reality
Other values (3)

Length

Max length11
Median length9
Mean length8.48
Min length4

Characters and Unicode

Total characters424
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowDocumentary
2nd rowAnimation
3rd rowAnimation
4th rowAnimation
5th rowAnimation

Common Values

ValueCountFrequency (%)
Scripted19
38.0%
Documentary10
20.0%
Animation5
 
10.0%
Talk Show5
 
10.0%
Reality4
 
8.0%
Sports3
 
6.0%
Game Show2
 
4.0%
News2
 
4.0%

Length

2022-05-09T21:17:54.363903image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-09T21:17:54.479261image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
scripted19
33.3%
documentary10
17.5%
show7
 
12.3%
animation5
 
8.8%
talk5
 
8.8%
reality4
 
7.0%
sports3
 
5.3%
game2
 
3.5%
news2
 
3.5%

Most occurring characters

ValueCountFrequency (%)
t41
 
9.7%
e37
 
8.7%
i33
 
7.8%
r32
 
7.5%
S29
 
6.8%
c29
 
6.8%
a26
 
6.1%
o25
 
5.9%
p22
 
5.2%
n20
 
4.7%
Other values (16)130
30.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter360
84.9%
Uppercase Letter57
 
13.4%
Space Separator7
 
1.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t41
11.4%
e37
10.3%
i33
9.2%
r32
8.9%
c29
 
8.1%
a26
 
7.2%
o25
 
6.9%
p22
 
6.1%
n20
 
5.6%
d19
 
5.3%
Other values (8)76
21.1%
Uppercase Letter
ValueCountFrequency (%)
S29
50.9%
D10
 
17.5%
T5
 
8.8%
A5
 
8.8%
R4
 
7.0%
G2
 
3.5%
N2
 
3.5%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin417
98.3%
Common7
 
1.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
t41
 
9.8%
e37
 
8.9%
i33
 
7.9%
r32
 
7.7%
S29
 
7.0%
c29
 
7.0%
a26
 
6.2%
o25
 
6.0%
p22
 
5.3%
n20
 
4.8%
Other values (15)123
29.5%
Common
ValueCountFrequency (%)
7
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII424
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t41
 
9.7%
e37
 
8.7%
i33
 
7.8%
r32
 
7.5%
S29
 
6.8%
c29
 
6.8%
a26
 
6.1%
o25
 
5.9%
p22
 
5.2%
n20
 
4.7%
Other values (16)130
30.7%

_embedded_show_language
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct15
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Memory size528.0 B
Norwegian
12 
English
12 
Chinese
10 
Russian
Spanish
Other values (10)
12 

Length

Max length10
Median length7
Mean length7.6
Min length6

Characters and Unicode

Total characters380
Distinct characters32
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)16.0%

Sample

1st rowRussian
2nd rowChinese
3rd rowChinese
4th rowChinese
5th rowChinese

Common Values

ValueCountFrequency (%)
Norwegian12
24.0%
English12
24.0%
Chinese10
20.0%
Russian2
 
4.0%
Spanish2
 
4.0%
German2
 
4.0%
Japanese2
 
4.0%
Korean1
 
2.0%
Ukrainian1
 
2.0%
Danish1
 
2.0%
Other values (5)5
10.0%

Length

2022-05-09T21:17:54.610495image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
norwegian12
24.0%
english12
24.0%
chinese10
20.0%
russian2
 
4.0%
spanish2
 
4.0%
german2
 
4.0%
japanese2
 
4.0%
korean1
 
2.0%
ukrainian1
 
2.0%
danish1
 
2.0%
Other values (5)5
10.0%

Most occurring characters

ValueCountFrequency (%)
n50
13.2%
i46
12.1%
e42
11.1%
s33
8.7%
a31
 
8.2%
h27
 
7.1%
g25
 
6.6%
r18
 
4.7%
o15
 
3.9%
w13
 
3.4%
Other values (22)80
21.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter330
86.8%
Uppercase Letter50
 
13.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n50
15.2%
i46
13.9%
e42
12.7%
s33
10.0%
a31
9.4%
h27
8.2%
g25
7.6%
r18
 
5.5%
o15
 
4.5%
w13
 
3.9%
Other values (9)30
9.1%
Uppercase Letter
ValueCountFrequency (%)
E12
24.0%
N12
24.0%
C10
20.0%
S3
 
6.0%
R3
 
6.0%
G2
 
4.0%
J2
 
4.0%
K1
 
2.0%
U1
 
2.0%
D1
 
2.0%
Other values (3)3
 
6.0%

Most occurring scripts

ValueCountFrequency (%)
Latin380
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
n50
13.2%
i46
12.1%
e42
11.1%
s33
8.7%
a31
 
8.2%
h27
 
7.1%
g25
 
6.6%
r18
 
4.7%
o15
 
3.9%
w13
 
3.4%
Other values (22)80
21.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII380
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n50
13.2%
i46
12.1%
e42
11.1%
s33
8.7%
a31
 
8.2%
h27
 
7.1%
g25
 
6.6%
r18
 
4.7%
o15
 
3.9%
w13
 
3.4%
Other values (22)80
21.1%

_embedded_show_genres
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct21
Distinct (%)42.0%
Missing0
Missing (%)0.0%
Memory size528.0 B
[]
14 
['Adventure', 'Travel']
['Comedy']
['Drama', 'Comedy', 'Romance']
['Drama', 'Romance']
Other values (16)
18 

Length

Max length43
Median length33
Mean length16.68
Min length2

Characters and Unicode

Total characters834
Distinct characters33
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)28.0%

Sample

1st row[]
2nd row['Action', 'Anime', 'Science-Fiction']
3rd row['Anime', 'Science-Fiction']
4th row['Action', 'Adventure', 'Anime', 'Fantasy']
5th row['Anime', 'Supernatural']

Common Values

ValueCountFrequency (%)
[]14
28.0%
['Adventure', 'Travel']6
12.0%
['Comedy']6
12.0%
['Drama', 'Comedy', 'Romance']3
 
6.0%
['Drama', 'Romance']3
 
6.0%
['Drama', 'Fantasy']2
 
4.0%
['Drama', 'Action', 'Crime']2
 
4.0%
['Drama', 'Children', 'Family']1
 
2.0%
['Anime', 'Supernatural']1
 
2.0%
['Action', 'Adventure', 'Anime', 'Fantasy']1
 
2.0%
Other values (11)11
22.0%

Length

2022-05-09T21:17:54.702799image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
14
15.6%
drama13
14.4%
comedy11
12.2%
adventure7
7.8%
travel6
 
6.7%
romance6
 
6.7%
action6
 
6.7%
anime5
 
5.6%
science-fiction3
 
3.3%
fantasy3
 
3.3%
Other values (11)16
17.8%

Most occurring characters

ValueCountFrequency (%)
'152
18.2%
e56
 
6.7%
[50
 
6.0%
]50
 
6.0%
a49
 
5.9%
r43
 
5.2%
,40
 
4.8%
40
 
4.8%
m40
 
4.8%
n36
 
4.3%
Other values (23)278
33.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter420
50.4%
Other Punctuation192
23.0%
Uppercase Letter79
 
9.5%
Open Punctuation50
 
6.0%
Close Punctuation50
 
6.0%
Space Separator40
 
4.8%
Dash Punctuation3
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e56
13.3%
a49
11.7%
r43
10.2%
m40
9.5%
n36
8.6%
o31
7.4%
i30
7.1%
t24
 
5.7%
c22
 
5.2%
d20
 
4.8%
Other values (7)69
16.4%
Uppercase Letter
ValueCountFrequency (%)
A18
22.8%
C16
20.3%
D13
16.5%
F8
10.1%
T7
 
8.9%
R6
 
7.6%
S6
 
7.6%
H2
 
2.5%
M2
 
2.5%
W1
 
1.3%
Other Punctuation
ValueCountFrequency (%)
'152
79.2%
,40
 
20.8%
Open Punctuation
ValueCountFrequency (%)
[50
100.0%
Close Punctuation
ValueCountFrequency (%)
]50
100.0%
Space Separator
ValueCountFrequency (%)
40
100.0%
Dash Punctuation
ValueCountFrequency (%)
-3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin499
59.8%
Common335
40.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
e56
 
11.2%
a49
 
9.8%
r43
 
8.6%
m40
 
8.0%
n36
 
7.2%
o31
 
6.2%
i30
 
6.0%
t24
 
4.8%
c22
 
4.4%
d20
 
4.0%
Other values (17)148
29.7%
Common
ValueCountFrequency (%)
'152
45.4%
[50
 
14.9%
]50
 
14.9%
,40
 
11.9%
40
 
11.9%
-3
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII834
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
'152
18.2%
e56
 
6.7%
[50
 
6.0%
]50
 
6.0%
a49
 
5.9%
r43
 
5.2%
,40
 
4.8%
40
 
4.8%
m40
 
4.8%
n36
 
4.3%
Other values (23)278
33.3%

_embedded_show_status
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct3
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size528.0 B
Running
35 
Ended
To Be Determined

Length

Max length16
Median length7
Mean length7.72
Min length5

Characters and Unicode

Total characters386
Distinct characters16
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowEnded
2nd rowRunning
3rd rowRunning
4th rowRunning
5th rowRunning

Common Values

ValueCountFrequency (%)
Running35
70.0%
Ended9
 
18.0%
To Be Determined6
 
12.0%

Length

2022-05-09T21:17:54.830962image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-09T21:17:54.908062image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
running35
56.5%
ended9
 
14.5%
to6
 
9.7%
be6
 
9.7%
determined6
 
9.7%

Most occurring characters

ValueCountFrequency (%)
n120
31.1%
i41
 
10.6%
R35
 
9.1%
u35
 
9.1%
g35
 
9.1%
e33
 
8.5%
d24
 
6.2%
12
 
3.1%
E9
 
2.3%
T6
 
1.6%
Other values (6)36
 
9.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter312
80.8%
Uppercase Letter62
 
16.1%
Space Separator12
 
3.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n120
38.5%
i41
 
13.1%
u35
 
11.2%
g35
 
11.2%
e33
 
10.6%
d24
 
7.7%
o6
 
1.9%
t6
 
1.9%
r6
 
1.9%
m6
 
1.9%
Uppercase Letter
ValueCountFrequency (%)
R35
56.5%
E9
 
14.5%
T6
 
9.7%
B6
 
9.7%
D6
 
9.7%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin374
96.9%
Common12
 
3.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
n120
32.1%
i41
 
11.0%
R35
 
9.4%
u35
 
9.4%
g35
 
9.4%
e33
 
8.8%
d24
 
6.4%
E9
 
2.4%
T6
 
1.6%
o6
 
1.6%
Other values (5)30
 
8.0%
Common
ValueCountFrequency (%)
12
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII386
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n120
31.1%
i41
 
10.6%
R35
 
9.1%
u35
 
9.1%
g35
 
9.1%
e33
 
8.5%
d24
 
6.2%
12
 
3.1%
E9
 
2.3%
T6
 
1.6%
Other values (6)36
 
9.3%

_embedded_show_runtime
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct14
Distinct (%)42.4%
Missing17
Missing (%)34.0%
Infinite0
Infinite (%)0.0%
Mean47.81818182
Minimum7
Maximum180
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2022-05-09T21:17:54.986559image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile7.6
Q120
median40
Q345
95-th percentile144
Maximum180
Range173
Interquartile range (IQR)25

Descriptive statistics

Standard deviation45.40612193
Coefficient of variation (CV)0.949557683
Kurtosis2.991279498
Mean47.81818182
Median Absolute Deviation (MAD)20
Skewness1.864622125
Sum1578
Variance2061.715909
MonotonicityNot monotonic
2022-05-09T21:17:55.174855image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
457
14.0%
304
 
8.0%
123
 
6.0%
1203
 
6.0%
152
 
4.0%
72
 
4.0%
402
 
4.0%
202
 
4.0%
602
 
4.0%
1802
 
4.0%
Other values (4)4
 
8.0%
(Missing)17
34.0%
ValueCountFrequency (%)
72
 
4.0%
81
 
2.0%
123
6.0%
152
 
4.0%
202
 
4.0%
221
 
2.0%
251
 
2.0%
304
8.0%
402
 
4.0%
457
14.0%
ValueCountFrequency (%)
1802
 
4.0%
1203
6.0%
602
 
4.0%
481
 
2.0%
457
14.0%
402
 
4.0%
304
8.0%
251
 
2.0%
221
 
2.0%
202
 
4.0%

_embedded_show_averageRuntime
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct27
Distinct (%)58.7%
Missing4
Missing (%)8.0%
Infinite0
Infinite (%)0.0%
Mean45
Minimum5
Maximum193
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2022-05-09T21:17:55.282377image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile7.25
Q120
median34
Q345
95-th percentile120
Maximum193
Range188
Interquartile range (IQR)25

Descriptive statistics

Standard deviation42.99870799
Coefficient of variation (CV)0.9555268442
Kurtosis4.534461243
Mean45
Median Absolute Deviation (MAD)13
Skewness2.139594496
Sum2070
Variance1848.888889
MonotonicityNot monotonic
2022-05-09T21:17:55.389248image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
456
 
12.0%
346
 
12.0%
1204
 
8.0%
472
 
4.0%
202
 
4.0%
292
 
4.0%
302
 
4.0%
122
 
4.0%
72
 
4.0%
81
 
2.0%
Other values (17)17
34.0%
(Missing)4
 
8.0%
ValueCountFrequency (%)
51
2.0%
72
4.0%
81
2.0%
91
2.0%
111
2.0%
122
4.0%
151
2.0%
161
2.0%
181
2.0%
202
4.0%
ValueCountFrequency (%)
1931
 
2.0%
1881
 
2.0%
1204
8.0%
641
 
2.0%
601
 
2.0%
571
 
2.0%
472
 
4.0%
456
12.0%
431
 
2.0%
391
 
2.0%

_embedded_show_premiered
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct37
Distinct (%)74.0%
Missing0
Missing (%)0.0%
Memory size528.0 B
2002-12-08
2020-11-29
2020-11-22
 
3
2020-12-16
 
2
2020-12-13
 
2
Other values (32)
33 

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters500
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)62.0%

Sample

1st row2020-05-11
2nd row2020-10-18
3rd row2020-11-29
4th row2020-03-08
5th row2019-07-21

Common Values

ValueCountFrequency (%)
2002-12-086
 
12.0%
2020-11-294
 
8.0%
2020-11-223
 
6.0%
2020-12-162
 
4.0%
2020-12-132
 
4.0%
2020-12-202
 
4.0%
2020-05-111
 
2.0%
2019-09-011
 
2.0%
2020-05-041
 
2.0%
2016-09-111
 
2.0%
Other values (27)27
54.0%

Length

2022-05-09T21:17:55.500379image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2002-12-086
 
12.0%
2020-11-294
 
8.0%
2020-11-223
 
6.0%
2020-12-162
 
4.0%
2020-12-132
 
4.0%
2020-12-202
 
4.0%
2020-11-081
 
2.0%
2018-10-241
 
2.0%
2017-09-181
 
2.0%
2015-06-031
 
2.0%
Other values (27)27
54.0%

Most occurring characters

ValueCountFrequency (%)
0127
25.4%
2114
22.8%
-100
20.0%
187
17.4%
919
 
3.8%
815
 
3.0%
610
 
2.0%
38
 
1.6%
58
 
1.6%
78
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number400
80.0%
Dash Punctuation100
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0127
31.8%
2114
28.5%
187
21.8%
919
 
4.8%
815
 
3.8%
610
 
2.5%
38
 
2.0%
58
 
2.0%
78
 
2.0%
44
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
-100
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common500
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0127
25.4%
2114
22.8%
-100
20.0%
187
17.4%
919
 
3.8%
815
 
3.0%
610
 
2.0%
38
 
1.6%
58
 
1.6%
78
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII500
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0127
25.4%
2114
22.8%
-100
20.0%
187
17.4%
919
 
3.8%
815
 
3.0%
610
 
2.0%
38
 
1.6%
58
 
1.6%
78
 
1.6%

_embedded_show_ended
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct8
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Memory size528.0 B
nan
41 
2020-12-22
 
2
2021-01-25
 
2
2021-02-08
 
1
2020-12-20
 
1
Other values (3)
 
3

Length

Max length10
Median length3
Mean length4.26
Min length3

Characters and Unicode

Total characters213
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)10.0%

Sample

1st row2021-02-08
2nd rownan
3rd rownan
4th rownan
5th rownan

Common Values

ValueCountFrequency (%)
nan41
82.0%
2020-12-222
 
4.0%
2021-01-252
 
4.0%
2021-02-081
 
2.0%
2020-12-201
 
2.0%
2020-12-241
 
2.0%
2020-12-271
 
2.0%
2021-01-311
 
2.0%

Length

2022-05-09T21:17:55.611343image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-09T21:17:55.715945image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
nan41
82.0%
2020-12-222
 
4.0%
2021-01-252
 
4.0%
2021-02-081
 
2.0%
2020-12-201
 
2.0%
2020-12-241
 
2.0%
2020-12-271
 
2.0%
2021-01-311
 
2.0%

Most occurring characters

ValueCountFrequency (%)
n82
38.5%
a41
19.2%
233
15.5%
020
 
9.4%
-18
 
8.5%
113
 
6.1%
52
 
0.9%
81
 
0.5%
41
 
0.5%
71
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter123
57.7%
Decimal Number72
33.8%
Dash Punctuation18
 
8.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
233
45.8%
020
27.8%
113
 
18.1%
52
 
2.8%
81
 
1.4%
41
 
1.4%
71
 
1.4%
31
 
1.4%
Lowercase Letter
ValueCountFrequency (%)
n82
66.7%
a41
33.3%
Dash Punctuation
ValueCountFrequency (%)
-18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin123
57.7%
Common90
42.3%

Most frequent character per script

Common
ValueCountFrequency (%)
233
36.7%
020
22.2%
-18
20.0%
113
 
14.4%
52
 
2.2%
81
 
1.1%
41
 
1.1%
71
 
1.1%
31
 
1.1%
Latin
ValueCountFrequency (%)
n82
66.7%
a41
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII213
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n82
38.5%
a41
19.2%
233
15.5%
020
 
9.4%
-18
 
8.5%
113
 
6.1%
52
 
0.9%
81
 
0.5%
41
 
0.5%
71
 
0.5%

_embedded_show_officialSite
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct41
Distinct (%)82.0%
Missing0
Missing (%)0.0%
Memory size528.0 B
https://tv.nrk.no/serie/der-ingen-skulle-tru-at-nokon-kunne-bu
nan
 
3
https://www.iqiyi.com/a_19rrhllpip.html
 
2
https://v.youku.com/v_show/id_XNDk4OTUxMzg1Mg==.html?spm=a2hbt.13141534.0.13141534&s=6eefbfbd4befbfbd32ef
 
2
https://shahid.mbc.net/en/series/Arous%20Beirut-season-1/season-376514-376515
 
1
Other values (36)
36 

Length

Max length105
Median length65
Mean length50.34
Min length3

Characters and Unicode

Total characters2517
Distinct characters69
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)74.0%

Sample

1st rowhttps://premier.one/collections/134
2nd rowhttps://v.qq.com/detail/q/q72jd29a3oxflsr.html
3rd rowhttps://v.qq.com/detail/3/324olz7ilvo2j5f.html
4th rowhttps://v.qq.com/detail/m/7q544xyrava3vxf.html
5th rowhttps://www.bilibili.com/bangumi/media/md4314622

Common Values

ValueCountFrequency (%)
https://tv.nrk.no/serie/der-ingen-skulle-tru-at-nokon-kunne-bu6
 
12.0%
nan3
 
6.0%
https://www.iqiyi.com/a_19rrhllpip.html2
 
4.0%
https://v.youku.com/v_show/id_XNDk4OTUxMzg1Mg==.html?spm=a2hbt.13141534.0.13141534&s=6eefbfbd4befbfbd32ef2
 
4.0%
https://shahid.mbc.net/en/series/Arous%20Beirut-season-1/season-376514-3765151
 
2.0%
https://www.discoveryplus.se/program/pappas-pojkar1
 
2.0%
https://www.patrickcotnoir.com/glts1
 
2.0%
http://www.laisves.tv1
 
2.0%
https://www.amazon.com/Paranormal-Nightmare/dp/B07YLZPXT71
 
2.0%
https://motherlandsrpg.com1
 
2.0%
Other values (31)31
62.0%

Length

2022-05-09T21:17:55.827666image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://tv.nrk.no/serie/der-ingen-skulle-tru-at-nokon-kunne-bu6
 
12.0%
nan3
 
6.0%
https://www.iqiyi.com/a_19rrhllpip.html2
 
4.0%
https://v.youku.com/v_show/id_xndk4otuxmzg1mg==.html?spm=a2hbt.13141534.0.13141534&s=6eefbfbd4befbfbd32ef2
 
4.0%
https://es.hboespana.com/series/30-coins/37b0ccfe-0bf1-489e-b2a3-cae9f6307eb61
 
2.0%
https://v.qq.com/detail/3/324olz7ilvo2j5f.html1
 
2.0%
https://v.qq.com/detail/m/7q544xyrava3vxf.html1
 
2.0%
https://www.bilibili.com/bangumi/media/md43146221
 
2.0%
https://tv.nrk.no/serie/1131
 
2.0%
https://tv.nrk.no/serie/stjernestoev1
 
2.0%
Other values (31)31
62.0%

Most occurring characters

ValueCountFrequency (%)
/198
 
7.9%
t184
 
7.3%
e160
 
6.4%
s130
 
5.2%
n122
 
4.8%
o117
 
4.6%
.100
 
4.0%
r98
 
3.9%
i95
 
3.8%
h93
 
3.7%
Other values (59)1220
48.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1777
70.6%
Other Punctuation356
 
14.1%
Decimal Number188
 
7.5%
Uppercase Letter88
 
3.5%
Dash Punctuation86
 
3.4%
Math Symbol14
 
0.6%
Connector Punctuation8
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t184
 
10.4%
e160
 
9.0%
s130
 
7.3%
n122
 
6.9%
o117
 
6.6%
r98
 
5.5%
i95
 
5.3%
h93
 
5.2%
a91
 
5.1%
p87
 
4.9%
Other values (16)600
33.8%
Uppercase Letter
ValueCountFrequency (%)
N11
12.5%
T8
 
9.1%
U7
 
8.0%
W7
 
8.0%
P7
 
8.0%
M5
 
5.7%
D5
 
5.7%
C4
 
4.5%
L4
 
4.5%
X4
 
4.5%
Other values (14)26
29.5%
Decimal Number
ValueCountFrequency (%)
131
16.5%
328
14.9%
427
14.4%
224
12.8%
617
9.0%
017
9.0%
715
8.0%
512
 
6.4%
911
 
5.9%
86
 
3.2%
Other Punctuation
ValueCountFrequency (%)
/198
55.6%
.100
28.1%
:47
 
13.2%
?5
 
1.4%
&5
 
1.4%
%1
 
0.3%
Dash Punctuation
ValueCountFrequency (%)
-86
100.0%
Math Symbol
ValueCountFrequency (%)
=14
100.0%
Connector Punctuation
ValueCountFrequency (%)
_8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1865
74.1%
Common652
 
25.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
t184
 
9.9%
e160
 
8.6%
s130
 
7.0%
n122
 
6.5%
o117
 
6.3%
r98
 
5.3%
i95
 
5.1%
h93
 
5.0%
a91
 
4.9%
p87
 
4.7%
Other values (40)688
36.9%
Common
ValueCountFrequency (%)
/198
30.4%
.100
15.3%
-86
13.2%
:47
 
7.2%
131
 
4.8%
328
 
4.3%
427
 
4.1%
224
 
3.7%
617
 
2.6%
017
 
2.6%
Other values (9)77
 
11.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII2517
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/198
 
7.9%
t184
 
7.3%
e160
 
6.4%
s130
 
5.2%
n122
 
4.8%
o117
 
4.6%
.100
 
4.0%
r98
 
3.9%
i95
 
3.8%
h93
 
3.7%
Other values (59)1220
48.5%

_embedded_show_weight
Real number (ℝ≥0)

HIGH CORRELATION

Distinct29
Distinct (%)58.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.58
Minimum2
Maximum95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2022-05-09T21:17:55.940001image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q117
median22.5
Q343.25
95-th percentile82.6
Maximum95
Range93
Interquartile range (IQR)26.25

Descriptive statistics

Standard deviation26.31604616
Coefficient of variation (CV)0.8077362236
Kurtosis-0.3066930445
Mean32.58
Median Absolute Deviation (MAD)11
Skewness0.9614447548
Sum1629
Variance692.5342857
MonotonicityNot monotonic
2022-05-09T21:17:56.034560image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
206
 
12.0%
174
 
8.0%
33
 
6.0%
703
 
6.0%
22
 
4.0%
252
 
4.0%
62
 
4.0%
182
 
4.0%
762
 
4.0%
102
 
4.0%
Other values (19)22
44.0%
ValueCountFrequency (%)
22
 
4.0%
33
6.0%
62
 
4.0%
102
 
4.0%
122
 
4.0%
151
 
2.0%
174
8.0%
182
 
4.0%
206
12.0%
221
 
2.0%
ValueCountFrequency (%)
951
 
2.0%
882
4.0%
762
4.0%
731
 
2.0%
721
 
2.0%
703
6.0%
641
 
2.0%
571
 
2.0%
441
 
2.0%
411
 
2.0%

_embedded_show_dvdCountry
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size528.0 B
nan
49 
{'name': 'Ukraine', 'code': 'UA', 'timezone': 'Europe/Zaporozhye'}
 
1

Length

Max length66
Median length3
Mean length4.26
Min length3

Characters and Unicode

Total characters213
Distinct characters27
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)2.0%

Sample

1st rownan
2nd rownan
3rd rownan
4th rownan
5th rownan

Common Values

ValueCountFrequency (%)
nan49
98.0%
{'name': 'Ukraine', 'code': 'UA', 'timezone': 'Europe/Zaporozhye'}1
 
2.0%

Length

2022-05-09T21:17:56.128864image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-05-09T21:17:56.223204image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
nan49
89.1%
name1
 
1.8%
ukraine1
 
1.8%
code1
 
1.8%
ua1
 
1.8%
timezone1
 
1.8%
europe/zaporozhye1
 
1.8%

Most occurring characters

ValueCountFrequency (%)
n101
47.4%
a52
24.4%
'12
 
5.6%
e7
 
3.3%
o5
 
2.3%
5
 
2.3%
:3
 
1.4%
r3
 
1.4%
i2
 
0.9%
p2
 
0.9%
Other values (17)21
 
9.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter183
85.9%
Other Punctuation18
 
8.5%
Space Separator5
 
2.3%
Uppercase Letter5
 
2.3%
Open Punctuation1
 
0.5%
Close Punctuation1
 
0.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n101
55.2%
a52
28.4%
e7
 
3.8%
o5
 
2.7%
r3
 
1.6%
i2
 
1.1%
p2
 
1.1%
z2
 
1.1%
m2
 
1.1%
u1
 
0.5%
Other values (6)6
 
3.3%
Other Punctuation
ValueCountFrequency (%)
'12
66.7%
:3
 
16.7%
,2
 
11.1%
/1
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
U2
40.0%
Z1
20.0%
E1
20.0%
A1
20.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Open Punctuation
ValueCountFrequency (%)
{1
100.0%
Close Punctuation
ValueCountFrequency (%)
}1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin188
88.3%
Common25
 
11.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
n101
53.7%
a52
27.7%
e7
 
3.7%
o5
 
2.7%
r3
 
1.6%
i2
 
1.1%
p2
 
1.1%
z2
 
1.1%
U2
 
1.1%
m2
 
1.1%
Other values (10)10
 
5.3%
Common
ValueCountFrequency (%)
'12
48.0%
5
20.0%
:3
 
12.0%
,2
 
8.0%
/1
 
4.0%
{1
 
4.0%
}1
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII213
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n101
47.4%
a52
24.4%
'12
 
5.6%
e7
 
3.3%
o5
 
2.3%
5
 
2.3%
:3
 
1.4%
r3
 
1.4%
i2
 
0.9%
p2
 
0.9%
Other values (17)21
 
9.9%

_embedded_show_summary
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct41
Distinct (%)82.0%
Missing0
Missing (%)0.0%
Memory size528.0 B
<p>Norwegian documentary show about people that have settled in remote areas, a mountain shelf, a mountain cabin or a remote area deep into the wilderness.</p>
<p>A story that follows undercover cop Gan Tian Lei who spent 10 years of his life walking a gray area. After waking up from a serious injury, he restarts his life and tries to solve a case by relying on his lost memories.</p>
 
2
<p>The play consists of three youth stories. "He and Meow": The cat Jiang Xiao Kui and his owner Jiang Qing from the cat kingdom live a happy life. Until Jiang Qing's younger brother Jiang Xia returned home. Xia, who was allergic to cats, and Jiang Xiao Kui, who hated his younger brother, started a battle over sister's favor. "Full-time rival": Xu Tian Yi and Li Shi Lin, who had been at odds for a long time, reunited during the summer sprint training. In the process of competing against each other, their misunderstanding was resolved. Just when the two worked together to enter the team, an accident happened. "The Man in the Story": Yu Sheng, a young man, accidentally discovered that he turned out to be a character in Xu Mo's novel. After learning about the tragic ending of himself and his sister, he came to the real world to fight with the writer in an attempt to change his destiny.</p><p><br /> </p>
 
2
<p>Ju Xuanwen (Wan Yan Lo-yun) is a man with a noble appearance and many virtues. It is a pity that he fell ill with neurosis at a young age - after an unexplained car accident he falls into a delusional state and considers himself a prince. Since then, he no longer cares about the activities of his company and concentrates on becoming emperor.<br />Lo Huai (Chuang Da Fei) - psychiatrist on the verge of bankruptcy. Because of the need for money, she took responsibility for the treatment of Ju Xuanwen. However, she did not expect her peaceful days to end one day. Spending time together, they began to fall in love with each other.</p>
 
2
nan
 
2
Other values (36)
36 

Length

Max length913
Median length401
Mean length339.78
Min length3

Characters and Unicode

Total characters16989
Distinct characters98
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)72.0%

Sample

1st row<p>This is not an interview, this is a confession. Revelations of the artist in the form of a monologue. The guest's opinion may not coincide with the opinion of the PREMIER platform editorial board.</p>
2nd row<p>Zero was mankind's first real superhero. Under his watch, countless other superheros appeared and followed in his footsteps. However, after 5 years of war, Zero disappeared without a trace.<br /><br />(Source: zeroscans)</p>
3rd row<p>One day, an unexplained RR virus appeared on the earth, drawing the world into disaster. Infected animals mutated into terrible monsters, invaded massively, and humans built walls around the destruction and established the base city as the last bastion for humans. The suffering that mankind has experienced during this period of time is known as the "Great Nirvana Period." Not only that, Luo Feng not only carried the burden of supporting the family but also to protect the human homeland, for the better survival and development of mankind, together with other justice warriors, to join hands against the fierce monsters. Under the desperate situation of the end, can Luo Feng and other warriors repel monsters and successfully protect the human world?</p>
4th row<p>The protagonist Qin Chen, who was originally the top genius in the military domain, was conspired by the people to fall into the death canyon in the forbidden land of the mainland. Qin Chen, who was inevitably dead, unexpectedly triggered the power of the mysterious ancient sword.<br /><br />Three hundred years later, in a remote part of the Tianwu mainland, a boy of the same name accidentally inherited Qin Chen's will. As the beloved grandson of King Dingwu of the Daqi National Army, due to the birth father's birth, the mother and son were treated coldly in Dingwu's palace and lived together. In order to rewrite the myth of the strong man in hope of the sun, and to protect everything he loves, Qin Chen resolutely took up the responsibility of maintaining the five kingdoms of the world and set foot on the road of martial arts again.</p>
5th row<p>In the twenty-first century, gods and demons can no longer maintain balance due to the rapid development of human society. In an effort to restore proper order, the gods began to take care of saving the world, for which they sent a group of gods and monsters to the world of people, who must find there the " key " to salvation. Su moting is a girl with the personality of "demon child". When her parents asked her to leave home so that she could become independent and independent, she met the beautiful and charming God of Tianjin and the mysterious demon cat. So begins a new turbulent round of su moting's life.</p><p><br /> </p>

Common Values

ValueCountFrequency (%)
<p>Norwegian documentary show about people that have settled in remote areas, a mountain shelf, a mountain cabin or a remote area deep into the wilderness.</p>6
 
12.0%
<p>A story that follows undercover cop Gan Tian Lei who spent 10 years of his life walking a gray area. After waking up from a serious injury, he restarts his life and tries to solve a case by relying on his lost memories.</p>2
 
4.0%
<p>The play consists of three youth stories. "He and Meow": The cat Jiang Xiao Kui and his owner Jiang Qing from the cat kingdom live a happy life. Until Jiang Qing's younger brother Jiang Xia returned home. Xia, who was allergic to cats, and Jiang Xiao Kui, who hated his younger brother, started a battle over sister's favor. "Full-time rival": Xu Tian Yi and Li Shi Lin, who had been at odds for a long time, reunited during the summer sprint training. In the process of competing against each other, their misunderstanding was resolved. Just when the two worked together to enter the team, an accident happened. "The Man in the Story": Yu Sheng, a young man, accidentally discovered that he turned out to be a character in Xu Mo's novel. After learning about the tragic ending of himself and his sister, he came to the real world to fight with the writer in an attempt to change his destiny.</p><p><br /> </p>2
 
4.0%
<p>Ju Xuanwen (Wan Yan Lo-yun) is a man with a noble appearance and many virtues. It is a pity that he fell ill with neurosis at a young age - after an unexplained car accident he falls into a delusional state and considers himself a prince. Since then, he no longer cares about the activities of his company and concentrates on becoming emperor.<br />Lo Huai (Chuang Da Fei) - psychiatrist on the verge of bankruptcy. Because of the need for money, she took responsibility for the treatment of Ju Xuanwen. However, she did not expect her peaceful days to end one day. Spending time together, they began to fall in love with each other.</p>2
 
4.0%
nan2
 
4.0%
<p>This is not an interview, this is a confession. Revelations of the artist in the form of a monologue. The guest's opinion may not coincide with the opinion of the PREMIER platform editorial board.</p>1
 
2.0%
<p><b>AwesomenessTV's Next Influencer</b> follows a group of content creators competing in a series of challenges to prove they have what it takes to become the next big influencer.</p>1
 
2.0%
<p>Once they were the coolest guys in school. Ten years later, they are still partying as if they were carefree teenagers. Now it's high time for daddy's boys to grow up.</p>1
 
2.0%
<p><b>The George Lucas Talk Show</b>, a long-running cult talk show hosted by Connor Ratliff, as George Lucas, his sidekick Watto (Griffin Newman), and his producer Patrick Cotnoir. They interview guests in a panel format weekly on PlanetScum.</p>1
 
2.0%
<p>A show of intellectual satire. The show discusses national and foreign issues in a witty and biting way, and once a month - a topic prepared in detail by the screenwriters. Since the beginning of the fifth season, three hosts have shared the main wheel: Andrius Tapinas, Ignas Grinevičius, and Irma Bogdanovičiūtė.</p>1
 
2.0%
Other values (31)31
62.0%

Length

2022-05-09T21:17:56.333566image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
the172
 
6.1%
a99
 
3.5%
and90
 
3.2%
of80
 
2.8%
to65
 
2.3%
in59
 
2.1%
his32
 
1.1%
is30
 
1.1%
with28
 
1.0%
that23
 
0.8%
Other values (1118)2136
75.9%

Most occurring characters

ValueCountFrequency (%)
2758
16.2%
e1597
 
9.4%
t1125
 
6.6%
a1097
 
6.5%
n1007
 
5.9%
o972
 
5.7%
i937
 
5.5%
r816
 
4.8%
s806
 
4.7%
h653
 
3.8%
Other values (88)5221
30.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter12836
75.6%
Space Separator2765
 
16.3%
Uppercase Letter506
 
3.0%
Other Punctuation465
 
2.7%
Math Symbol304
 
1.8%
Dash Punctuation40
 
0.2%
Decimal Number40
 
0.2%
Open Punctuation10
 
0.1%
Close Punctuation10
 
0.1%
Other Letter8
 
< 0.1%
Other values (3)5
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e1597
12.4%
t1125
 
8.8%
a1097
 
8.5%
n1007
 
7.8%
o972
 
7.6%
i937
 
7.3%
r816
 
6.4%
s806
 
6.3%
h653
 
5.1%
l477
 
3.7%
Other values (20)3349
26.1%
Uppercase Letter
ValueCountFrequency (%)
T51
 
10.1%
S47
 
9.3%
A31
 
6.1%
W27
 
5.3%
J26
 
5.1%
I24
 
4.7%
F22
 
4.3%
C21
 
4.2%
G21
 
4.2%
M21
 
4.2%
Other values (16)215
42.5%
Other Punctuation
ValueCountFrequency (%)
,165
35.5%
.136
29.2%
/81
17.4%
'28
 
6.0%
"23
 
4.9%
!13
 
2.8%
:10
 
2.2%
?7
 
1.5%
@1
 
0.2%
#1
 
0.2%
Decimal Number
ValueCountFrequency (%)
011
27.5%
110
25.0%
27
17.5%
44
 
10.0%
92
 
5.0%
52
 
5.0%
72
 
5.0%
31
 
2.5%
81
 
2.5%
Other Letter
ValueCountFrequency (%)
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
Dash Punctuation
ValueCountFrequency (%)
-31
77.5%
8
 
20.0%
1
 
2.5%
Space Separator
ValueCountFrequency (%)
2758
99.7%
 7
 
0.3%
Math Symbol
ValueCountFrequency (%)
<152
50.0%
>152
50.0%
Open Punctuation
ValueCountFrequency (%)
(9
90.0%
[1
 
10.0%
Close Punctuation
ValueCountFrequency (%)
)9
90.0%
]1
 
10.0%
Currency Symbol
ValueCountFrequency (%)
$2
66.7%
1
33.3%
Other Symbol
ValueCountFrequency (%)
1
100.0%
Modifier Letter
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin13342
78.5%
Common3639
 
21.4%
Katakana4
 
< 0.1%
Han4
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e1597
12.0%
t1125
 
8.4%
a1097
 
8.2%
n1007
 
7.5%
o972
 
7.3%
i937
 
7.0%
r816
 
6.1%
s806
 
6.0%
h653
 
4.9%
l477
 
3.6%
Other values (46)3855
28.9%
Common
ValueCountFrequency (%)
2758
75.8%
,165
 
4.5%
<152
 
4.2%
>152
 
4.2%
.136
 
3.7%
/81
 
2.2%
-31
 
0.9%
'28
 
0.8%
"23
 
0.6%
!13
 
0.4%
Other values (24)100
 
2.7%
Katakana
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Han
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII16957
99.8%
None12
 
0.1%
Punctuation9
 
0.1%
Katakana5
 
< 0.1%
CJK4
 
< 0.1%
Dingbats1
 
< 0.1%
Currency Symbols1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2758
16.3%
e1597
 
9.4%
t1125
 
6.6%
a1097
 
6.5%
n1007
 
5.9%
o972
 
5.7%
i937
 
5.5%
r816
 
4.8%
s806
 
4.8%
h653
 
3.9%
Other values (70)5189
30.6%
Punctuation
ValueCountFrequency (%)
8
88.9%
1
 
11.1%
None
ValueCountFrequency (%)
 7
58.3%
č2
 
16.7%
ū1
 
8.3%
ā1
 
8.3%
ė1
 
8.3%
Katakana
ValueCountFrequency (%)
1
20.0%
1
20.0%
1
20.0%
1
20.0%
1
20.0%
Dingbats
ValueCountFrequency (%)
1
100.0%
CJK
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Currency Symbols
ValueCountFrequency (%)
1
100.0%

_embedded_show_updated
Real number (ℝ≥0)

HIGH CORRELATION

Distinct42
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1633254964
Minimum1603467037
Maximum1652097920
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2022-05-09T21:17:56.457511image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1603467037
5-th percentile1609699187
Q11618466682
median1638993194
Q31648361945
95-th percentile1651538337
Maximum1652097920
Range48630883
Interquartile range (IQR)29895263

Descriptive statistics

Standard deviation15505388.16
Coefficient of variation (CV)0.009493550304
Kurtosis-1.351959045
Mean1633254964
Median Absolute Deviation (MAD)12078393
Skewness-0.3559865133
Sum8.166274821 × 1010
Variance2.40417062 × 1014
MonotonicityNot monotonic
2022-05-09T21:17:56.568023image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
16389931946
 
12.0%
16097998962
 
4.0%
16184666822
 
4.0%
16154510692
 
4.0%
16370618071
 
2.0%
16509088001
 
2.0%
16264292641
 
2.0%
16182435821
 
2.0%
16497746891
 
2.0%
16516375911
 
2.0%
Other values (32)32
64.0%
ValueCountFrequency (%)
16034670371
2.0%
16085040201
2.0%
16096167881
2.0%
16097998962
4.0%
16110394971
2.0%
16114368421
2.0%
16120609221
2.0%
16149309731
2.0%
16154510692
4.0%
16182435821
2.0%
ValueCountFrequency (%)
16520979201
2.0%
16517491651
2.0%
16516375911
2.0%
16514170271
2.0%
16512600631
2.0%
16512343741
2.0%
16509088001
2.0%
16497746891
2.0%
16494384821
2.0%
16494234441
2.0%

_links_self_href
Categorical

HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size528.0 B
https://api.tvmaze.com/episodes/1977902
 
1
https://api.tvmaze.com/episodes/2087588
 
1
https://api.tvmaze.com/episodes/2065447
 
1
https://api.tvmaze.com/episodes/2090654
 
1
https://api.tvmaze.com/episodes/2090655
 
1
Other values (45)
45 

Length

Max length39
Median length39
Mean length39
Min length39

Characters and Unicode

Total characters1950
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)100.0%

Sample

1st rowhttps://api.tvmaze.com/episodes/1977902
2nd rowhttps://api.tvmaze.com/episodes/2015818
3rd rowhttps://api.tvmaze.com/episodes/1964000
4th rowhttps://api.tvmaze.com/episodes/1995405
5th rowhttps://api.tvmaze.com/episodes/2007760

Common Values

ValueCountFrequency (%)
https://api.tvmaze.com/episodes/19779021
 
2.0%
https://api.tvmaze.com/episodes/20875881
 
2.0%
https://api.tvmaze.com/episodes/20654471
 
2.0%
https://api.tvmaze.com/episodes/20906541
 
2.0%
https://api.tvmaze.com/episodes/20906551
 
2.0%
https://api.tvmaze.com/episodes/21692031
 
2.0%
https://api.tvmaze.com/episodes/23122231
 
2.0%
https://api.tvmaze.com/episodes/23122241
 
2.0%
https://api.tvmaze.com/episodes/23122251
 
2.0%
https://api.tvmaze.com/episodes/23122261
 
2.0%
Other values (40)40
80.0%

Length

2022-05-09T21:17:56.699501image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://api.tvmaze.com/episodes/19779021
 
2.0%
https://api.tvmaze.com/episodes/23244301
 
2.0%
https://api.tvmaze.com/episodes/19986151
 
2.0%
https://api.tvmaze.com/episodes/19640001
 
2.0%
https://api.tvmaze.com/episodes/19954051
 
2.0%
https://api.tvmaze.com/episodes/20077601
 
2.0%
https://api.tvmaze.com/episodes/19857891
 
2.0%
https://api.tvmaze.com/episodes/20396221
 
2.0%
https://api.tvmaze.com/episodes/20396231
 
2.0%
https://api.tvmaze.com/episodes/23244271
 
2.0%
Other values (40)40
80.0%

Most occurring characters

ValueCountFrequency (%)
/200
 
10.3%
t150
 
7.7%
p150
 
7.7%
s150
 
7.7%
e150
 
7.7%
a100
 
5.1%
i100
 
5.1%
.100
 
5.1%
m100
 
5.1%
o100
 
5.1%
Other values (16)650
33.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1250
64.1%
Other Punctuation350
 
17.9%
Decimal Number350
 
17.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t150
12.0%
p150
12.0%
s150
12.0%
e150
12.0%
a100
8.0%
i100
8.0%
m100
8.0%
o100
8.0%
h50
 
4.0%
d50
 
4.0%
Other values (3)150
12.0%
Decimal Number
ValueCountFrequency (%)
277
22.0%
946
13.1%
041
11.7%
140
11.4%
330
 
8.6%
426
 
7.4%
825
 
7.1%
723
 
6.6%
521
 
6.0%
621
 
6.0%
Other Punctuation
ValueCountFrequency (%)
/200
57.1%
.100
28.6%
:50
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin1250
64.1%
Common700
35.9%

Most frequent character per script

Common
ValueCountFrequency (%)
/200
28.6%
.100
14.3%
277
 
11.0%
:50
 
7.1%
946
 
6.6%
041
 
5.9%
140
 
5.7%
330
 
4.3%
426
 
3.7%
825
 
3.6%
Other values (3)65
 
9.3%
Latin
ValueCountFrequency (%)
t150
12.0%
p150
12.0%
s150
12.0%
e150
12.0%
a100
8.0%
i100
8.0%
m100
8.0%
o100
8.0%
h50
 
4.0%
d50
 
4.0%
Other values (3)150
12.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1950
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/200
 
10.3%
t150
 
7.7%
p150
 
7.7%
s150
 
7.7%
e150
 
7.7%
a100
 
5.1%
i100
 
5.1%
.100
 
5.1%
m100
 
5.1%
o100
 
5.1%
Other values (16)650
33.3%

Interactions

2022-05-09T21:17:48.698366image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:33.210718image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:36.299121image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:37.748524image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:38.953929image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:40.370188image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:42.745491image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:44.720430image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:47.299676image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:49.164177image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:33.978887image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:36.786276image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:37.967343image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:39.231702image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:41.072126image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:43.011689image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:45.446053image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:47.836172image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:49.274724image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:34.310243image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:36.882689image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:38.065354image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:39.339267image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:41.275797image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:43.186986image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:45.752861image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:47.935985image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:49.370400image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:34.647146image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:36.980108image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:38.167819image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:39.433292image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:41.464175image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:43.322703image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:46.038636image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:48.029631image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:49.475335image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:34.857884image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:37.082937image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:38.267005image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:39.545578image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:41.660563image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:43.465881image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:46.285183image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:48.123066image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:49.699182image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:35.253626image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:37.286609image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:38.441945image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:39.773012image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:41.924753image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:43.805143image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:46.562701image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:48.302248image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:49.812981image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:35.427753image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:37.405115image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:38.535812image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:39.891139image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:42.175171image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:44.004918image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:46.838078image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:48.418566image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:49.930450image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:35.637210image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:37.528654image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:38.640206image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:40.056808image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:42.345357image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:44.226342image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:46.982481image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:48.520125image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:50.140029image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:36.008057image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:37.643194image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:38.859407image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:40.218748image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:42.547179image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:44.518964image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:47.120109image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2022-05-09T21:17:48.605125image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Correlations

2022-05-09T21:17:56.777234image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2022-05-09T21:17:56.946327image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2022-05-09T21:17:57.067611image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2022-05-09T21:17:57.330469image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.
2022-05-09T21:17:57.570237image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2022-05-09T21:17:50.324388image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
A simple visualization of nullity by column.
2022-05-09T21:17:51.065912image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2022-05-09T21:17:51.283062image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
2022-05-09T21:17:51.434628image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

Sample

First rows

idurlnameseasonnumbertypeairdateairtimeairstampruntimeimagesummary_embedded_show_id_embedded_show_url_embedded_show_name_embedded_show_type_embedded_show_language_embedded_show_genres_embedded_show_status_embedded_show_runtime_embedded_show_averageRuntime_embedded_show_premiered_embedded_show_ended_embedded_show_officialSite_embedded_show_weight_embedded_show_dvdCountry_embedded_show_summary_embedded_show_updated_links_self_href
02053350https://www.tvmaze.com/episodes/2053350/ispoved-1x08-gnojnyjГнойный1.08.0regular2020-12-2012:002020-12-20T00:00:00+00:0048.0Nonenan48683https://www.tvmaze.com/shows/48683/ispovedИсповедьDocumentaryRussian[]Ended48.047.02020-05-112021-02-08https://premier.one/collections/1342.0nan<p>This is not an interview, this is a confession. Revelations of the artist in the form of a monologue. The guest's opinion may not coincide with the opinion of the PREMIER platform editorial board.</p>1.637062e+09https://api.tvmaze.com/episodes/1977902
11956340https://www.tvmaze.com/episodes/1956340/hero-return-1x11-episode-11Episode 111.011.0regular2020-12-2010:002020-12-20T02:00:00+00:0015.0Nonenan51471https://www.tvmaze.com/shows/51471/hero-returnHero ReturnAnimationChinese['Action', 'Anime', 'Science-Fiction']Running15.016.02020-10-18nanhttps://v.qq.com/detail/q/q72jd29a3oxflsr.html76.0nan<p>Zero was mankind's first real superhero. Under his watch, countless other superheros appeared and followed in his footsteps. However, after 5 years of war, Zero disappeared without a trace.<br /><br />(Source: zeroscans)</p>1.603467e+09https://api.tvmaze.com/episodes/2015818
21988863https://www.tvmaze.com/episodes/1988863/swallowed-star-1x05-episode-5Episode 51.05.0regular2020-12-2010:002020-12-20T02:00:00+00:0021.0Nonenan52178https://www.tvmaze.com/shows/52178/swallowed-starSwallowed StarAnimationChinese['Anime', 'Science-Fiction']RunningNaN21.02020-11-29nanhttps://v.qq.com/detail/3/324olz7ilvo2j5f.html88.0nan<p>One day, an unexplained RR virus appeared on the earth, drawing the world into disaster. Infected animals mutated into terrible monsters, invaded massively, and humans built walls around the destruction and established the base city as the last bastion for humans. The suffering that mankind has experienced during this period of time is known as the "Great Nirvana Period." Not only that, Luo Feng not only carried the burden of supporting the family but also to protect the human homeland, for the better survival and development of mankind, together with other justice warriors, to join hands against the fierce monsters. Under the desperate situation of the end, can Luo Feng and other warriors repel monsters and successfully protect the human world?</p>1.648371e+09https://api.tvmaze.com/episodes/1964000
32052510https://www.tvmaze.com/episodes/2052510/wu-shen-zhu-zai-1x85-episode-85Episode 851.085.0regular2020-12-2010:002020-12-20T02:00:00+00:008.0Nonenan54033https://www.tvmaze.com/shows/54033/wu-shen-zhu-zaiWu Shen Zhu ZaiAnimationChinese['Action', 'Adventure', 'Anime', 'Fantasy']Running8.08.02020-03-08nanhttps://v.qq.com/detail/m/7q544xyrava3vxf.html76.0nan<p>The protagonist Qin Chen, who was originally the top genius in the military domain, was conspired by the people to fall into the death canyon in the forbidden land of the mainland. Qin Chen, who was inevitably dead, unexpectedly triggered the power of the mysterious ancient sword.<br /><br />Three hundred years later, in a remote part of the Tianwu mainland, a boy of the same name accidentally inherited Qin Chen's will. As the beloved grandson of King Dingwu of the Daqi National Army, due to the birth father's birth, the mother and son were treated coldly in Dingwu's palace and lived together. In order to rewrite the myth of the strong man in hope of the sun, and to protect everything he loves, Qin Chen resolutely took up the responsibility of maintaining the five kingdoms of the world and set foot on the road of martial arts again.</p>1.649423e+09https://api.tvmaze.com/episodes/1995405
42012322https://www.tvmaze.com/episodes/2012322/mans-diary-2x07-episode-7Episode 72.07.0regular2020-12-20nan2020-12-20T04:00:00+00:0012.0Nonenan50398https://www.tvmaze.com/shows/50398/mans-diaryMan's DiaryAnimationChinese['Anime', 'Supernatural']Running12.012.02019-07-21nanhttps://www.bilibili.com/bangumi/media/md43146223.0nan<p>In the twenty-first century, gods and demons can no longer maintain balance due to the rapid development of human society. In an effort to restore proper order, the gods began to take care of saving the world, for which they sent a group of gods and monsters to the world of people, who must find there the " key " to salvation. Su moting is a girl with the personality of "demon child". When her parents asked her to leave home so that she could become independent and independent, she met the beautiful and charming God of Tianjin and the mysterious demon cat. So begins a new turbulent round of su moting's life.</p><p><br /> </p>1.611039e+09https://api.tvmaze.com/episodes/2007760
52071489https://www.tvmaze.com/episodes/2071489/youths-in-the-breeze-1x19-full-time-sworn-enemy-03FULL-TIME SWORN ENEMY #031.019.0regular2020-12-20nan2020-12-20T04:00:00+00:007.0Nonenan54762https://www.tvmaze.com/shows/54762/youths-in-the-breezeYouths in the BreezeScriptedChinese['Drama', 'Fantasy']Ended7.07.02020-12-132020-12-22https://v.youku.com/v_show/id_XNDk4OTUxMzg1Mg==.html?spm=a2hbt.13141534.0.13141534&s=6eefbfbd4befbfbd32ef28.0nan<p>The play consists of three youth stories. "He and Meow": The cat Jiang Xiao Kui and his owner Jiang Qing from the cat kingdom live a happy life. Until Jiang Qing's younger brother Jiang Xia returned home. Xia, who was allergic to cats, and Jiang Xiao Kui, who hated his younger brother, started a battle over sister's favor. "Full-time rival": Xu Tian Yi and Li Shi Lin, who had been at odds for a long time, reunited during the summer sprint training. In the process of competing against each other, their misunderstanding was resolved. Just when the two worked together to enter the team, an accident happened. "The Man in the Story": Yu Sheng, a young man, accidentally discovered that he turned out to be a character in Xu Mo's novel. After learning about the tragic ending of himself and his sister, he came to the real world to fight with the writer in an attempt to change his destiny.</p><p><br /> </p>1.618467e+09https://api.tvmaze.com/episodes/1985789
62071490https://www.tvmaze.com/episodes/2071490/youths-in-the-breeze-1x20-full-time-sworn-enemy-04FULL-TIME SWORN ENEMY #041.020.0regular2020-12-20nan2020-12-20T04:00:00+00:007.0Nonenan54762https://www.tvmaze.com/shows/54762/youths-in-the-breezeYouths in the BreezeScriptedChinese['Drama', 'Fantasy']Ended7.07.02020-12-132020-12-22https://v.youku.com/v_show/id_XNDk4OTUxMzg1Mg==.html?spm=a2hbt.13141534.0.13141534&s=6eefbfbd4befbfbd32ef28.0nan<p>The play consists of three youth stories. "He and Meow": The cat Jiang Xiao Kui and his owner Jiang Qing from the cat kingdom live a happy life. Until Jiang Qing's younger brother Jiang Xia returned home. Xia, who was allergic to cats, and Jiang Xiao Kui, who hated his younger brother, started a battle over sister's favor. "Full-time rival": Xu Tian Yi and Li Shi Lin, who had been at odds for a long time, reunited during the summer sprint training. In the process of competing against each other, their misunderstanding was resolved. Just when the two worked together to enter the team, an accident happened. "The Man in the Story": Yu Sheng, a young man, accidentally discovered that he turned out to be a character in Xu Mo's novel. After learning about the tragic ending of himself and his sister, he came to the real world to fight with the writer in an attempt to change his destiny.</p><p><br /> </p>1.618467e+09https://api.tvmaze.com/episodes/2039622
71956518https://www.tvmaze.com/episodes/1956518/113-2x10-episode-10Episode 102.010.0regular2020-12-2006:002020-12-20T05:00:00+00:0043.0{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/289/724756.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/289/724756.jpg'}nan40240https://www.tvmaze.com/shows/40240/113113DocumentaryNorwegian[]Ended40.039.02019-01-012020-12-20https://tv.nrk.no/serie/11333.0nan<p>What happens when you call 113? In this series we are following the people that are there for us when the worst happens.</p>1.645373e+09https://api.tvmaze.com/episodes/2039623
81977328https://www.tvmaze.com/episodes/1977328/stjernestov-1x20-episode-20Episode 201.020.0regular2020-12-2006:002020-12-20T05:00:00+00:0020.0{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/290/726354.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/290/726354.jpg'}nan50752https://www.tvmaze.com/shows/50752/stjernestovStjernestøvScriptedNorwegian['Drama', 'Children', 'Family']Ended20.020.02020-12-012020-12-24https://tv.nrk.no/serie/stjernestoev22.0nan<p>The parents get divorced and Jo has to move to a new place. One day, Nordstjerna goes out, and Jo discovers that a girl with magical powers lives in the attic.</p>1.611437e+09https://api.tvmaze.com/episodes/2324427
91984166https://www.tvmaze.com/episodes/1984166/der-ingen-skulle-tru-at-nokon-kunne-bu-19x01-hovdenHovden19.01.0regular2020-12-2006:012020-12-20T05:01:00+00:0039.0Nonenan33172https://www.tvmaze.com/shows/33172/der-ingen-skulle-tru-at-nokon-kunne-buDer ingen skulle tru at nokon kunne buDocumentaryNorwegian['Adventure', 'Travel']RunningNaN34.02002-12-08nanhttps://tv.nrk.no/serie/der-ingen-skulle-tru-at-nokon-kunne-bu20.0nan<p>Norwegian documentary show about people that have settled in remote areas, a mountain shelf, a mountain cabin or a remote area deep into the wilderness.</p>1.638993e+09https://api.tvmaze.com/episodes/2324428

Last rows

idurlnameseasonnumbertypeairdateairtimeairstampruntimeimagesummary_embedded_show_id_embedded_show_url_embedded_show_name_embedded_show_type_embedded_show_language_embedded_show_genres_embedded_show_status_embedded_show_runtime_embedded_show_averageRuntime_embedded_show_premiered_embedded_show_ended_embedded_show_officialSite_embedded_show_weight_embedded_show_dvdCountry_embedded_show_summary_embedded_show_updated_links_self_href
402318108https://www.tvmaze.com/episodes/2318108/bride-of-beirut-2x52-episode-52Episode 522.052.0regular2020-12-20nan2020-12-20T12:00:00+00:0045.0Nonenan61755https://www.tvmaze.com/shows/61755/bride-of-beirutBride of BeirutScriptedArabic['Drama', 'Romance']Running45.0NaN2019-09-01nanhttps://shahid.mbc.net/en/series/Arous%20Beirut-season-1/season-376514-3765156.0nan<p>Living with her aunt, kind-hearted Thourayya leads a simple life, but her world is upended when she crosses paths with the handsome and ambitious Fares.</p>1.650909e+09https://api.tvmaze.com/episodes/2008312
411990375https://www.tvmaze.com/episodes/1990375/fantastico-48x51-edition-of-12202020Edition of 12/20/202048.051.0regular2020-12-20nan2020-12-20T14:00:00+00:00NaNNonenan36907https://www.tvmaze.com/shows/36907/fantasticoFantásticoNewsPortuguese[]RunningNaNNaN1973-08-05nanhttp://g1.globo.com/fantastico/12.0nannan1.625403e+09https://api.tvmaze.com/episodes/2015837
422036617https://www.tvmaze.com/episodes/2036617/the-bump-2x63-the-bump-75The Bump 752.063.0regular2020-12-2010:002020-12-20T15:00:00+00:0030.0Nonenan44660https://www.tvmaze.com/shows/44660/the-bumpThe BumpTalk ShowEnglish['Sports']Running30.030.02019-10-02nanhttps://watch.wwe.com/original/WWEs-The-Bump-10741023.0nan<p>WWE's <b>The Bump</b> is unlike any WWE show you've ever seen before, featuring a dynamic cast of hosts--led by Kayla Braxton--and WWE Superstars stopping in weekly, both as in-studio and video call-in guests.</p>1.649438e+09https://api.tvmaze.com/episodes/1996819
432165931https://www.tvmaze.com/episodes/2165931/off-topic-2020-12-20-the-official-theme-park-crew-262The Official Theme Park Crew - #2622020.048.0regular2020-12-20nan2020-12-20T17:00:00+00:00120.0Nonenan18752https://www.tvmaze.com/shows/18752/off-topicOff TopicTalk ShowEnglish['Comedy']Running120.0120.02015-12-06nanhttps://roosterteeth.com/series/off-topic-the-achievement-hunter-podcast39.0nan<p>The lads and lasses of Achievement Hunter congregate each week to discuss the important questions in life. Plus drink beer.</p>1.631188e+09https://api.tvmaze.com/episodes/2037724
441989023https://www.tvmaze.com/episodes/1989023/idolish7-2x14-triggerTrigger2.014.0regular2020-12-20nan2020-12-20T17:00:00+00:0025.0None<p>Tamaki and Aya are finally reunited. Tamaki wants the two of them to live together, but Aya informs him that she wants to remain with her new father who has been taking care of her. A surprising figure appears before the dumbfounded group. When they learn of his ambition, IDOLiSH7's feelings are united--</p>33463https://www.tvmaze.com/shows/33463/idolish7IDOLiSH7AnimationJapanese['Anime', 'Music']Running25.025.02017-11-02nanhttp://idolish7.com/aninana/29.0nan<p>A group of aspiring idols gather at Takanashi Productions and are entrusted with the company's future. The seven men who have just met represent a variety of totally different personalities. However, they each have their own charm and possess unknown potential as idols. Forming a group, they take their first step together as <b>IDOLiSH7</b>. Their brilliantly shining dancing forms onstage eventually begin captivating the hearts of the people. In the glorious but sometimes harsh world of idols, they aim for the top with dreams in their hearts!</p>1.628688e+09https://api.tvmaze.com/episodes/2037725
451981601https://www.tvmaze.com/episodes/1981601/peytons-places-2x04-fran-tarkentonFran Tarkenton2.04.0regular2020-12-20nan2020-12-20T17:00:00+00:0030.0Nonenan43207https://www.tvmaze.com/shows/43207/peytons-placesPeyton's PlacesDocumentaryEnglish['History', 'Sports']Running30.029.02019-07-29nanhttp://www.espn.com/watch/series/2043dd20-9cc0-4abe-b652-c8e7dfdfefa0/peyton-s-places41.0nan<p><b>Peyton's Places</b> offers a fun, insightful tour through 100 years of football, following the sport and the league's rise to an American cultural touchstone. For nearly a year, Manning has crisscrossed the country, visiting the people and places that have played an important part in the making of the NFL—highlighting memorable events, teams, players, and trends over the past century.</p>1.647692e+09https://api.tvmaze.com/episodes/1988424
461969229https://www.tvmaze.com/episodes/1969229/til-deg-fra-meg-1x04-episode-4Episode 41.04.0regular2020-12-2022:352020-12-20T21:35:00+00:0029.0{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/285/714233.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/285/714233.jpg'}nan51894https://www.tvmaze.com/shows/51894/til-deg-fra-megTil deg fra megRealityNorwegian[]To Be Determined30.029.02020-11-29nanhttps://tv.nrk.no/serie/til-deg-fra-meg2.0nan<p>In this year's Advent series, Per Sundnes meets people who are going to give away a Christmas song. They themselves have experienced more adversity than most of us. Who do they want to give a special Christmas song to?</p>1.608504e+09https://api.tvmaze.com/episodes/1993940
471974096https://www.tvmaze.com/episodes/1974096/wwe-ppv-on-wwe-network-2020-12-20-tlc-tables-ladders-chairs-2020-tropicana-field-in-st-petersburg-flTLC: Tables, Ladders & Chairs 2020 - Tropicana Field in St. Petersburg, FL2020.014.0regular2020-12-2019:002020-12-21T00:00:00+00:00180.0{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/401/1003458.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/401/1003458.jpg'}nan2855https://www.tvmaze.com/shows/2855/wwe-ppv-on-wwe-networkWWE PPV on WWE NetworkSportsEnglish[]Running180.0193.01985-03-31nanhttp://www.wwe.com/events95.0nan<p>Beginning with the 2014 Extreme Rules Pay-Per-View on 4 May 2014 the WWE began airing all of their Wrestling Pay-Per-Views exclusively on the WWE Network. Subscribers who pay the $9.95 monthly fee will be able to view any Pay-Per-Views past, present and in the future exclusively on the WWE Network at no additional charge as long as their monthly fees are paid up-to-date.</p>1.652098e+09https://api.tvmaze.com/episodes/2037532
482041984https://www.tvmaze.com/episodes/2041984/submission-underground-2020-12-20-submission-underground-19Submission Underground 192020.09.0regular2020-12-2020:002020-12-21T01:00:00+00:00120.0Nonenan50162https://www.tvmaze.com/shows/50162/submission-undergroundSubmission UndergroundSportsEnglish[]Running120.0120.02016-07-17nanhttps://www.tapology.com/fightcenter/promotions/2861-submission-underground-sug17.0nan<p>Submission Underground is a grappling event presented by Chael Sonnen and UFC Fight Pass!</p>1.614931e+09https://api.tvmaze.com/episodes/2068252
492234690https://www.tvmaze.com/episodes/2234690/one-mo-chance-1x10-new-york-new-york-part-2New York, New York Part 21.010.0regular2020-12-2020:002020-12-21T01:00:00+00:0051.0{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/382/955841.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/382/955841.jpg'}<p>On a journey to find love, Chance invites 15 beautiful "ladies" into his home. Each week he will put the hopefuls through various challenges to test their compatibility among other things. However, with constant infighting between the contestants, will Chance be able to finally find his happily ever after?</p>59398https://www.tvmaze.com/shows/59398/one-mo-chanceOne Mo' ChanceRealityEnglish[]RunningNaN47.02020-10-11nanhttps://www.thezeusnetwork.com/one-mo-chance57.0nan<p>From the breakdown of his relationship with the mother of his children, to the death of his brother and partner Real," the last few years have been personally tough for Kamal Chance Givens. However, the original Stallionaire is now ready to get back on his horse to give love another shot. During Chance return to reality television we'll watch as he goes it alone to find the true love of his life in this new dating competition series.</p>1.649331e+09https://api.tvmaze.com/episodes/1996820